A glucose-based mosquito rearing system and method

Abstract

The application relates to the technical field of mosquito feeding, and discloses a mosquito feeding system and method based on glucose, which comprises the following steps: obtaining the mosquito breeding quantity in each glucose feeding concentration experimental bin within a preset time period based on a preset environment; obtaining the initial quantity of mosquitoes and the glucose feeding concentration in the glucose feeding concentration experimental bin with the mosquito breeding quantity higher than that in each glucose feeding concentration experimental bin; establishing a glucose feeding relationship formula according to the initial quantity of mosquitoes and the glucose feeding concentration; determining the glucose feeding concentration according to the quantity of mosquitoes to be fed and the glucose feeding relationship formula; judging whether the glucose feeding concentration needs to be adjusted according to the relationship between the internal environment information of the feeding bin and the preset environment; and feeding the mosquitoes to be fed according to the adjusted glucose feeding concentration. The glucose feeding relationship formula is established, and the glucose feeding concentration is accurately adjusted according to real-time environment information, so that the health state of the mosquitoes is ensured, and the survival rate of feeding is improved.

Description

Technical Field

[0001] This invention relates to the field of mosquito breeding technology, and more specifically, to a glucose-based mosquito breeding system and method. Background Technology

[0002] Mosquito breeding plays a crucial role in several key areas, including biocontrol, disease prevention, and education and training. This practice aims to achieve effective pest population management, promote in-depth research into insect behavior patterns and disease transmission mechanisms, and thus enhance a comprehensive understanding and control of the ecosystem. Furthermore, mosquito breeding provides indispensable data support for health monitoring, accelerates vaccine development, and is of great significance to public health security.

[0003] Currently, glucose is widely used as the core feeding material in mosquito breeding to comprehensively meet the energy needs of mosquitoes and provide them with the essential nutrients necessary for growth and development. This practice has been established as an industry standard to ensure the healthy growth of mosquitoes. However, due to technological limitations, it is difficult to precisely control the glucose concentration during glucose feeding. This can lead to two adverse situations: first, excessive glucose concentration can cause glucose to spoil and deteriorate, providing a breeding ground for bacteria and ultimately affecting the health of mosquitoes; second, insufficient glucose concentration can lead to malnutrition in mosquitoes, which in turn negatively impacts their survival rate and the overall health of the mosquito population.

[0004] Therefore, there is an urgent need to develop an innovative mosquito breeding technology to solve the problem that existing technologies cannot accurately manage the glucose feeding concentration of mosquitoes, resulting in poor mosquito health and limited survival rates. Summary of the Invention

[0005] In view of this, the present invention proposes a glucose-based mosquito feeding system and method, which aims to solve the problem in the current technology that the inability to accurately manage the glucose feeding concentration of mosquitoes leads to poor mosquito health and limited survival rate.

[0006] This invention proposes a glucose-based mosquito rearing method, comprising:

[0007] Based on a preset environment, several experimental chambers with different glucose feeding concentrations were established, and the number of mosquitoes breeding in each experimental chamber with different glucose feeding concentrations was obtained within a preset time period.

[0008] The initial number of mosquitoes and the glucose feeding concentration in the experimental chambers where the number of mosquitoes reproduced was higher than the number of mosquitoes reproduced in each of the glucose feeding concentration experimental chambers were obtained, and a glucose feeding relationship was established based on the initial number of mosquitoes and the glucose feeding concentration.

[0009] Obtain the number of mosquitoes to be fed, and determine the glucose feeding concentration based on the relationship between the number of mosquitoes to be fed and the glucose feeding formula;

[0010] Obtain information about the internal environment of the breeding chamber, determine whether to adjust the glucose feeding concentration based on the relationship between the environmental information and the preset environment, and then feed the mosquitoes to be bred according to the adjusted glucose feeding concentration.

[0011] Furthermore, when establishing the glucose feeding relationship based on the initial mosquito population and glucose feeding concentration, it includes:

[0012] The real-time number of mosquitoes in the glucose feeding concentration experimental chamber is obtained, and the mosquito breeding rate is determined based on the real-time number of mosquitoes and the initial number of mosquitoes.

[0013] The volume of the glucose feeding concentration experimental chamber was obtained, and the activity space volume of the mosquitoes was determined based on the relationship between the volume of the chamber and the initial number of mosquitoes.

[0014] Based on the mosquito population, glucose feeding concentration, and mosquito activity space volume, the glucose feeding relationship is established.

[0015] Furthermore, when obtaining the number of mosquitoes to be fed and determining the glucose feeding concentration based on the relationship between the number of mosquitoes to be fed and the glucose feeding formula, the process includes:

[0016] Obtain the real-time number of mosquitoes to be raised and the volume of the breeding chamber;

[0017] The volume of the breeding activity space for the mosquitoes to be bred is determined based on the real-time number of mosquitoes to be bred and the volume of the breeding chamber.

[0018] The glucose feeding concentration is determined based on the relationship between the feeding activity space volume and the preset activity space volume in the glucose feeding formula, wherein:

[0019] Obtain the space ratio between the volume of the feeding activity space and the preset activity space volume, and determine the glucose feeding concentration based on the space ratio.

[0020] Furthermore, when acquiring information about the internal environment of the feeding chamber and determining whether to adjust the glucose feeding concentration based on the relationship between the environmental information and a preset environment, the process includes:

[0021] The real-time temperature inside the feeding chamber is obtained, and based on the temperature difference between the real-time temperature and the preset temperature in the preset environment, it is determined whether to adjust the glucose feeding concentration, wherein:

[0022] When the temperature difference is less than ±5℃, the glucose feeding concentration is adjusted, and the adjustment coefficient of the glucose feeding concentration is determined according to the temperature difference.

[0023] If the temperature difference is greater than ±5℃, it is determined that the glucose feeding concentration will not be adjusted, and an early warning message will be issued based on the temperature difference.

[0024] Furthermore, when the temperature difference is less than 5°C, determining to adjust the glucose feeding concentration, and determining the adjustment coefficient of the glucose feeding concentration based on the temperature difference, includes:

[0025] A first preset temperature difference value and a second preset temperature difference value are pre-configured, and an adjustment coefficient for the glucose feeding concentration is determined based on the relationship between the temperature difference value and each of the pre-configured preset temperature difference values.

[0026] When the temperature difference is less than or equal to the first preset temperature difference, the adjustment coefficient for the glucose feeding concentration is determined to be L3.

[0027] When the temperature difference is greater than the first preset temperature difference and the temperature difference is less than or equal to the second preset temperature difference, the adjustment coefficient for the glucose feeding concentration is determined to be L2.

[0028] When the temperature difference is greater than the second preset temperature difference, the adjustment coefficient for the glucose feeding concentration is determined to be L1.

[0029] Wherein, the first preset temperature difference is less than the second preset temperature difference; L1 < L2 < L3 < 1.

[0030] Furthermore, when the adjustment coefficient for the glucose feeding concentration is determined to be Li, i = 1, 2, 3, it includes:

[0031] The real-time humidity inside the feeding chamber is obtained, and the relationship between the real-time humidity and the preset humidity in the preset environment is obtained to determine whether the adjustment coefficient Li needs to be corrected.

[0032] When the real-time humidity is greater than or equal to the preset humidity, it is determined that the adjustment coefficient L has not been corrected.

[0033] When the real-time humidity is less than the preset humidity, it is determined whether to correct the adjustment coefficient Li based on the humidity difference between the real-time humidity and the preset humidity, wherein:

[0034] If the humidity difference is less than or equal to 10%, then it is determined that the adjustment coefficient Li should be corrected, and the correction coefficient when correcting the adjustment coefficient Li is determined according to the humidity difference.

[0035] If the humidity difference is greater than 10%, then it is determined that the adjustment coefficient Li will not be corrected, and an early warning message will be issued based on the humidity difference.

[0036] Furthermore, when determining the correction factor for correcting the adjustment factor Li based on the humidity difference, the following steps are included:

[0037] A first preset humidity difference value and a second preset humidity difference value are pre-configured, and a correction coefficient is determined based on the relationship between the humidity difference value and each pre-configured preset humidity difference value when correcting the adjustment coefficient Li:

[0038] When the humidity difference is less than or equal to the first preset humidity difference, the correction coefficient is determined to be M1;

[0039] When the humidity difference is greater than the first preset humidity difference and the humidity difference is less than or equal to the second preset humidity difference, the correction coefficient is determined to be M2.

[0040] When the humidity difference is greater than the second preset humidity difference, the correction coefficient is determined to be M3;

[0041] Wherein, the first preset humidity difference is less than the second preset humidity difference; M1 < M2 < M3 < 1.

[0042] Furthermore, when determining the correction coefficient as Mi, i = 1, 2, 3, it also includes:

[0043] The real-time number of mosquitoes inside the breeding chamber is obtained, and based on the relationship between the real-time number of mosquitoes and the number of mosquitoes in adjacent historical periods, it is determined whether to correct the correction coefficient Mi.

[0044] When the real-time number of mosquitoes is higher than or equal to the number of mosquitoes, it is determined that the correction coefficient Mi will not be corrected.

[0045] When the real-time number of mosquitoes is lower than the number of mosquitoes, the correction coefficient Mi is determined based on the difference between the real-time number of mosquitoes and the number of mosquitoes, and the correction coefficient Mi is corrected based on the correction coefficient.

[0046] Furthermore, when determining the correction coefficient Mi based on the difference between the real-time mosquito count and the actual mosquito count, the following steps are included:

[0047] A first preset quantity difference and a second preset quantity difference are pre-configured, and the correction coefficient of the correction coefficient Mi is determined based on the relationship between the quantity difference and each preset quantity difference pre-configured.

[0048] When the quantity difference is less than or equal to the first preset quantity difference, the correction coefficient is determined to be N3;

[0049] When the quantity difference is greater than the first preset quantity difference and the quantity difference is less than or equal to the second preset quantity difference, the correction coefficient is determined to be N2.

[0050] When the quantity difference is greater than the second preset quantity difference, the correction coefficient is determined to be N1;

[0051] Wherein, the first preset quantity difference is less than the second preset quantity difference, and N1 < N2 < N3 < 1.

[0052] Compared with existing technologies, the advantages of this invention are as follows: By establishing several experimental chambers with different glucose feeding concentrations and conducting experiments, the optimal breeding conditions for mosquitoes under different glucose concentrations can be precisely determined. This method helps researchers find the most suitable breeding environment, thereby maximizing the number of mosquitoes and improving overall breeding efficiency. Secondly, by establishing a glucose feeding formula and calculating based on the number of mosquitoes to be bred, the amount of glucose used in actual operation can be ensured to be optimal. This not only helps save resources but also avoids mosquito breeding problems caused by excessive or insufficient glucose, thereby improving the scientific nature and accuracy of the breeding process. Finally, by acquiring real-time information about the internal environment of the breeding chamber and adjusting it according to the relationship between this information and the preset environment, the breeding conditions can be dynamically optimized. Environmental changes such as temperature and humidity often affect the growth and reproduction of mosquitoes. Adjusting the glucose feeding concentration according to actual environmental changes ensures that mosquitoes are properly fed under various environmental conditions, thereby improving the stability and effectiveness of the breeding process.

[0053] On the other hand, this application also provides a glucose-based mosquito feeding system, comprising:

[0054] The experimental chamber is provided in several forms, and the experimental chamber is used to conduct experiments on the glucose feeding concentration of the mosquitoes.

[0055] An image acquisition module is used to acquire images of mosquitoes inside each of the experimental chambers;

[0056] The first analysis module, electrically connected to the image acquisition module, is used to determine the number of mosquitoes in each experimental chamber based on the mosquito images in each experimental chamber. The first analysis module is also used to determine the mosquito breeding population in each experimental chamber based on the mosquito count, and to obtain the initial number of mosquitoes and glucose feeding concentration in the experimental chamber where the mosquito breeding population is higher than the mosquito breeding population in the experimental chamber with the specified glucose feeding concentration.

[0057] The first analysis module is also used to establish a glucose feeding relationship based on the initial number of mosquitoes and the glucose feeding concentration;

[0058] The second analysis module is electrically connected to the first analysis module. The second analysis module is used to obtain the number of mosquitoes to be fed and to determine the glucose feeding concentration based on the relationship between the number of mosquitoes to be fed and the glucose feeding formula. The second analysis module is also used to obtain the internal environmental information of the feeding chamber and to determine whether to adjust the glucose feeding concentration based on the relationship between the environmental information and the preset environment.

[0059] The control module is electrically connected to the second analysis module, and the control module is used to feed the mosquitoes to be fed according to the adjusted glucose feeding concentration.

[0060] It is understood that the glucose-based mosquito breeding system and method in the various embodiments of the present invention have the same beneficial effects, and will not be described in detail here. Attached Figure Description

[0061] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0062] Figure 1 A flowchart of a glucose-based mosquito breeding method provided for an embodiment of the present invention;

[0063] Figure 2 This is a functional block diagram of a glucose-based mosquito breeding system provided in an embodiment of the present invention.

[0064] Specific implementation

[0065] Way

[0066] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0067] Mosquito breeding plays a crucial role in several key areas, including biocontrol, disease prevention, and education and training. This practice aims to achieve effective pest population management, promote in-depth research into insect behavior patterns and disease transmission mechanisms, and thus enhance a comprehensive understanding and control of the ecosystem. Furthermore, mosquito breeding provides indispensable data support for health monitoring, accelerates vaccine development, and is of great significance to public health security.

[0068] Currently, compound glucose is commonly used as the core feeding material in mosquito breeding processes to comprehensively meet the energy needs of mosquitoes and provide them with the various key nutrients required for growth and development. This practice has been established as an industry standard to ensure the healthy growth of mosquitoes. However, due to technological limitations, it is difficult to precisely control the glucose concentration during glucose feeding. This may lead to two adverse situations: first, excessive glucose concentration can cause glucose to spoil and deteriorate, providing a breeding ground for bacteria and ultimately affecting the health of mosquitoes; second, insufficient glucose concentration can lead to competition among mosquitoes, which can negatively impact their survival rate and overall health.

[0069] In view of this, the present invention proposes a glucose-based mosquito feeding system and method, which aims to solve the problem in the current technology that the inability to accurately manage the glucose feeding concentration of mosquitoes leads to poor mosquito health and limited survival rate.

[0070] like Figure 1 As shown in some embodiments of this application, this embodiment provides a glucose-based mosquito rearing method, including:

[0071] Step S100: Based on the preset environment, establish several glucose feeding concentration experimental chambers and obtain the number of mosquitoes breeding in each glucose feeding concentration experimental chamber within a preset time period.

[0072] Step S200: Obtain the initial number of mosquitoes and the glucose feeding concentration in the experimental chambers where the mosquito reproduction rate is higher than that in each glucose feeding concentration. Establish a glucose feeding relationship based on the initial mosquito number and the glucose feeding concentration.

[0073] Specifically, establishing the glucose feeding formula based on the initial mosquito population and glucose feeding concentration includes: obtaining the real-time mosquito population in the glucose feeding concentration experimental chamber, and determining the mosquito breeding rate based on the real-time mosquito population and the initial mosquito population; obtaining the spatial volume of the glucose feeding concentration experimental chamber, and determining the mosquito activity space volume based on the relationship between the spatial volume and the initial mosquito population; and establishing the glucose feeding formula based on the mosquito breeding rate, glucose feeding concentration, and mosquito activity space volume.

[0074] It can be seen that by establishing several experimental chambers with different glucose feeding concentrations and conducting experiments under preset environmental conditions, the mosquito breeding numbers under different glucose concentrations can be accurately obtained. This experimental data provides a foundation for establishing an effective glucose feeding formula. However, in the specific technical implementation process, it is first necessary to obtain the real-time number of mosquitoes in each experimental chamber and compare it with the initial number to determine the actual mosquito breeding rate. This step can clearly understand the actual impact of different glucose concentrations on mosquito breeding. Simultaneously, by measuring the spatial volume of the experimental chambers, the activity space volume of the mosquitoes can be calculated, thereby understanding the behavioral patterns and spatial requirements of mosquitoes under different environmental conditions. Finally, by combining the data on mosquito breeding numbers, glucose feeding concentrations, and mosquito activity space volumes, a glucose feeding formula can be established. This formula can accurately describe the impact of glucose concentration on mosquito breeding and provide a scientific basis for subsequent feeding strategy optimization. Through this formula, researchers can adjust the amount of glucose added according to actual needs, thereby achieving the optimal mosquito feeding effect under different environmental conditions.

[0075] Understandably, the process begins by establishing multiple experimental chambers with different glucose concentrations under pre-defined environmental conditions. Each chamber is used to raise mosquitoes at different concentrations, and the mosquito population is measured within a predetermined timeframe. This process provides preliminary data on the effects of different glucose concentrations on mosquito reproduction, helping to identify the most suitable rearing conditions. Next, by analyzing the mosquito populations in each chamber, glucose concentrations that result in higher mosquito populations are identified. This step involves obtaining the initial mosquito population and monitoring its changes in real-time during the experiment to accurately calculate the mosquito population. Simultaneously, the volume of each chamber is measured to understand the mosquitoes' space requirements under different environments. This data allows for the determination of the mosquitoes' space requirements and reproductive efficiency at different glucose concentrations. Finally, after obtaining this data, a glucose-feeding relationship is established by combining the mosquito population, glucose concentration, and space volume. This mathematical model accurately describes the relationship between glucose concentration and mosquito reproduction, revealing the influence of different glucose concentrations on mosquito reproduction. Using this relationship, researchers can adjust the amount of glucose added according to actual needs to optimize rearing conditions and improve mosquito reproductive efficiency.

[0076] Step S300: Obtain the number of mosquitoes to be fed, and determine the glucose feeding concentration based on the relationship between the number of mosquitoes to be fed and the glucose feeding formula.

[0077] Specifically, when obtaining the number of mosquitoes to be reared and determining the glucose rearing concentration based on the number of mosquitoes and the glucose rearing formula, the process includes: obtaining the real-time number of mosquitoes to be reared and the volume of the rearing chamber; determining the rearing activity space volume of the mosquitoes based on the real-time number of mosquitoes and the volume of the rearing chamber; and determining the glucose rearing concentration based on the relationship between the rearing activity space volume and the preset activity space volume in the glucose rearing formula, wherein: the spatial ratio between the rearing activity space volume and the preset activity space volume is obtained, and the glucose rearing concentration is determined based on the spatial ratio.

[0078] It is evident that obtaining real-time mosquito numbers and the volume of the rearing chamber are crucial steps during the rearing process. This data helps determine the actual activity space volume of the mosquitoes within the rearing chamber, which directly impacts their living and reproductive conditions. Next, the calculated activity space volume is compared with the preset activity space volume in the glucose-feeding formula. The preset activity space volume is typically based on optimal experimental conditions and guides the amount of glucose added in actual operation. By calculating the space ratio between these two, the difference between the current rearing environment and the ideal environment can be assessed, thereby determining the glucose feeding concentration that needs adjustment. Specifically, the space ratio represents the proportional relationship between the current activity space and the preset activity space. Using this ratio, researchers can accurately adjust the glucose concentration in the rearing chamber according to the glucose-feeding formula. For example, if the actual space ratio is greater than the preset value, the amount of glucose needs to be increased to maintain optimal mosquito reproduction; conversely, the amount of glucose may need to be reduced.

[0079] Understandably, by obtaining the real-time number of mosquitoes to be reared and the volume of the rearing chamber, the actual rearing space required by the mosquitoes can be accurately calculated. This step provides crucial information about the mosquitoes' actual needs, helping to understand their activity range and growth conditions in the current environment. Subsequently, the calculated rearing space volume is compared with the preset activity space volume in the glucose rearing formula. The preset activity space volume is a standard derived from ideal experimental conditions and is used to guide the amount of glucose added in actual operation. By calculating the space ratio between these two, the gap between the current environmental conditions and the ideal conditions can be assessed. This ratio reveals the difference between the actual rearing environment and the set optimal environment, providing a scientific basis for adjusting rearing conditions. Finally, the glucose rearing concentration is adjusted according to the calculated space ratio. Specifically, if the actual space ratio is greater than the preset value, it indicates that the mosquitoes' space requirements in the rearing environment are greater than the ideal conditions, and the amount of glucose added needs to be increased to meet the mosquitoes' needs; conversely, if the actual space ratio is less than the preset value, the amount of glucose may need to be reduced to avoid overfeeding. In this way, the glucose rearing concentration can be dynamically adjusted to ensure that mosquitoes obtain the most suitable growth conditions under various environmental conditions. By using real-time monitoring and spatial analysis, breeding conditions can be precisely controlled, thereby improving mosquito breeding efficiency and resource utilization. This method not only enhances the precision of mosquito breeding but also provides an effective tool for scientific research, ecological control, and agricultural management in related fields.

[0080] Step S400: Obtain information about the internal environment of the breeding chamber, determine whether to adjust the glucose feeding concentration based on the relationship between the environmental information and the preset environment, and feed the mosquitoes to be bred according to the adjusted glucose feeding concentration.

[0081] Specifically, when acquiring information about the internal environment of the feeding chamber and determining whether to adjust the glucose feeding concentration based on the relationship between this information and a preset environment, the process includes: acquiring the real-time temperature inside the feeding chamber and determining whether to adjust the glucose feeding concentration based on the temperature difference between the real-time temperature and the preset temperature in the preset environment. Specifically: if the temperature difference is less than ±5℃, the glucose feeding concentration is adjusted, and an adjustment coefficient is determined based on the temperature difference. If the temperature difference is greater than ±5℃, the glucose feeding concentration is not adjusted, and an early warning is issued based on the temperature difference.

[0082] Specifically, when the temperature difference is less than 5℃, the process of adjusting the glucose feeding concentration and determining the adjustment coefficient based on the temperature difference includes: pre-configuring a first preset temperature difference and a second preset temperature difference, and determining the adjustment coefficient of the glucose feeding concentration based on the relationship between the temperature difference and each preset temperature difference: when the temperature difference is less than or equal to the first preset temperature difference, the adjustment coefficient of the glucose feeding concentration is determined to be L3. When the temperature difference is greater than the first preset temperature difference and less than or equal to the second preset temperature difference, the adjustment coefficient of the glucose feeding concentration is determined to be L2. When the temperature difference is greater than the second preset temperature difference, the adjustment coefficient of the glucose feeding concentration is determined to be L1. Wherein, the first preset temperature difference is less than the second preset temperature difference. L1 < L2 < L3 < 1.

[0083] As can be seen, by measuring the real-time temperature of the feeding chamber and comparing it with the standard temperature in the preset environment, the temperature difference can be calculated. This difference reflects the deviation between the current environment and the ideal environment, providing an important basis for adjusting the glucose feeding concentration. When the temperature difference is within ±5℃, it means that the environmental conditions of the feeding chamber are close to the preset value, and the glucose feeding amount needs to be adjusted according to the temperature difference. Specifically, a first preset temperature difference and a second preset temperature difference are preset to divide different adjustment ranges. When the temperature difference is less than or equal to the first preset temperature difference, the adjustment coefficient for the glucose feeding concentration is L3; if the temperature difference is between the first and second preset values, the adjustment coefficient is L2; ​​when the temperature difference is greater than the second preset value, the adjustment coefficient is L1, where L1 < L2 < L3 < 1. This graded adjustment mechanism ensures that the glucose feeding concentration can be gradually and accurately adjusted to adapt to small changes in the environment when the temperature changes. If the temperature difference exceeds the ±5℃ range, it indicates that the environmental conditions have changed significantly, and in this case, the glucose feeding concentration will not be adjusted, but a warning message will be issued. This early warning mechanism can alert operators to abnormal environmental conditions, allowing them to take further measures to restore environmental stability and prevent negative impacts on mosquito growth.

[0084] Understandably, the temperature difference is calculated by measuring the temperature inside the rearing chamber in real time and comparing it with a preset ideal temperature. This temperature difference represents the deviation between the current actual environment and the target environment, providing crucial data for adjusting rearing conditions. When the temperature difference is within ±5℃, the glucose feeding amount is adjusted based on this difference. Specifically, two key preset temperature difference values ​​are pre-set: a first preset temperature difference and a second preset temperature difference. These preset values ​​define different adjustment ranges. For example, when the actual temperature difference is less than or equal to the first preset temperature difference, the system increases the glucose feeding concentration according to a higher adjustment coefficient L3 to compensate for the impact of the temperature deviation; if the temperature difference is between the first and second preset values, the adjustment coefficient is L2; ​​and when the temperature difference exceeds the second preset value, a lower adjustment coefficient L1 is used. The adjustment coefficients L1, L2, and L3 are arranged in ascending order, ensuring that the change in glucose feeding concentration is gradual and orderly, accurately adapting to environmental changes. The advantage of this tiered adjustment mechanism is that it can dynamically optimize the glucose feeding amount based on the magnitude of the actual temperature difference, thereby providing the optimal mosquito growth environment. This method not only enhances the system's responsiveness to environmental changes but also improves the stability of rearing conditions. For example, if the ambient temperature is relatively stable, the system will increase the glucose concentration through a higher adjustment coefficient to ensure mosquitoes grow under near-ideal conditions; conversely, if the temperature difference exceeds ±5℃, the system will issue an early warning to alert operators of abnormal environmental conditions. This early warning mechanism allows for timely intervention to prevent drastic changes in environmental conditions from negatively impacting mosquito growth.

[0085] Specifically, when the adjustment coefficient for the glucose feeding concentration is determined to be Li, i = 1, 2, 3, the process includes: acquiring the real-time humidity inside the feeding chamber and obtaining the relationship between the real-time humidity and the preset humidity in the preset environment; determining whether to correct the adjustment coefficient Li: if the real-time humidity is greater than or equal to the preset humidity, it is determined that the adjustment coefficient Li has not been corrected. If the real-time humidity is less than the preset humidity, it is determined whether to correct the adjustment coefficient Li based on the humidity difference between the real-time humidity and the preset humidity, wherein: if the humidity difference is less than or equal to 10%, it is determined that the adjustment coefficient Li will be corrected, and the correction coefficient for correcting the adjustment coefficient Li will be determined based on the humidity difference. If the humidity difference is greater than 10%, it is determined that the adjustment coefficient Li will not be corrected, and an early warning message will be issued based on the humidity difference.

[0086] Specifically, when determining the correction factor for adjusting coefficient Li based on the humidity difference, the process includes: pre-configuring a first preset humidity difference and a second preset humidity difference, and determining the correction factor for adjusting coefficient Li based on the relationship between the humidity difference and each preset humidity difference: when the humidity difference is less than or equal to the first preset humidity difference, the correction factor is determined to be M1. When the humidity difference is greater than the first preset humidity difference and less than or equal to the second preset humidity difference, the correction factor is determined to be M2. When the humidity difference is greater than the second preset humidity difference, the correction factor is determined to be M3. Wherein, the first preset humidity difference is less than the second preset humidity difference. M1 < M2 < M3 < 1.

[0087] As can be seen, the system acquires the real-time humidity inside the feeding chamber and compares it with the standard humidity in the preset environment to calculate the humidity difference. When the real-time humidity is greater than or equal to the preset humidity, it indicates that the current environmental humidity meets or exceeds expectations, and no adjustment coefficient Li needs to be corrected. However, when the real-time humidity is lower than the preset humidity, the amount of glucose to be fed needs to be adjusted based on the humidity difference. If the humidity difference is less than or equal to 10%, the system will correct the adjustment coefficient Li to ensure that mosquitoes can still receive appropriate feeding support under insufficient humidity conditions. The determination of the correction coefficient depends on the pre-configured humidity difference range: a first preset humidity difference and a second preset humidity difference. Different correction ranges for the humidity difference are defined based on these preset values. When the humidity difference is less than or equal to the first preset humidity difference, the correction coefficient is set to M1; when the humidity difference is between the first and second preset humidity differences, the correction coefficient is M2; if the humidity difference exceeds the second preset humidity difference, the correction coefficient is M3. Here, M1 < M2 < M3 < 1, meaning that the smaller the humidity difference, the larger the correction coefficient, to adapt to the adjustment needs under different humidity conditions. This meticulous adjustment mechanism dynamically optimizes glucose levels based on humidity changes. For example, when the humidity difference is small, a higher correction factor M1 can increase the glucose concentration to compensate for insufficient humidity; conversely, when the humidity difference is large, a lower correction factor M3 is used to avoid over-adjustment. This method ensures the rearing environment remains optimal, preventing adverse effects on mosquito growth caused by humidity fluctuations. Furthermore, an alert is issued when the humidity difference exceeds 10%, indicating an abnormal environment. This alert mechanism not only helps to promptly identify and correct environmental problems but also prevents a decline in rearing effectiveness due to abnormal humidity. This comprehensive humidity management and correction strategy is crucial.

[0088] Understandably, by acquiring real-time humidity data within the rearing chamber and comparing it to the standard humidity in the preset environment, it's determined whether the adjustment factor for the glucose feeding concentration needs correction. Specifically, when the real-time humidity is higher than or equal to the preset humidity, it indicates that the environmental humidity is within the normal range, and no correction of the adjustment factor is required. In this case, the humidity conditions in the rearing environment are considered sufficient to support the normal growth of mosquitoes, thus maintaining the existing glucose feeding concentration. However, when the real-time humidity is lower than the preset humidity, the humidity difference is calculated, and this difference is used to determine whether the adjustment factor Li needs correction. If the humidity difference is less than or equal to 10%, the adjustment factor Li is corrected to adjust the glucose feeding amount according to the actual humidity conditions. To achieve this, two preset humidity difference values ​​are established: a first preset humidity difference value and a second preset humidity difference value. These two values ​​define the correction range for the humidity difference. The specific correction factor is chosen based on the relationship between the humidity difference value and these preset values. When the humidity difference is less than or equal to the first preset humidity difference, the correction coefficient is set to M1. This means that when the humidity difference is small, a higher correction coefficient will be used to increase the glucose feeding concentration to compensate for the negative effects of insufficient humidity. When the humidity difference is between the first and second preset humidity differences, the correction coefficient is set to M2, and the feeding amount is adjusted appropriately. When the humidity difference exceeds the second preset humidity difference, the correction coefficient is M3, the smallest correction coefficient, to prevent over-adjustment. Under this mechanism, M1 < M2 < M3 < 1, indicating that as the humidity difference increases, the correction coefficient gradually decreases to achieve the flexibility and accuracy of dynamic adjustment. In addition, when the humidity difference is greater than 10%, an early warning message is issued to remind operators of abnormal environmental humidity. This early warning mechanism not only helps to detect and deal with humidity fluctuations in a timely manner, but also prevents the long-term negative impact of abnormal humidity on mosquito growth. Through this comprehensive humidity monitoring and dynamic adjustment mechanism, this technology effectively improves the stability of the breeding environment and the healthy growth of mosquitoes, providing precise technical support for scientific research and practical applications.

[0089] Specifically, when determining the correction coefficient as Mi, i = 1, 2, 3, the process further includes: obtaining the real-time number of mosquitoes inside the rearing chamber, and determining whether to correct the correction coefficient Mi based on the relationship between the real-time number of mosquitoes and the number of mosquitoes in adjacent historical periods. If the real-time number of mosquitoes is higher than or equal to the number of mosquitoes, then it is determined that the correction coefficient Mi will not be corrected. If the real-time number of mosquitoes is lower than the number of mosquitoes, then the correction coefficient Mi is determined based on the difference between the real-time number of mosquitoes and the number of mosquitoes, and the correction coefficient Mi is then corrected accordingly.

[0090] Specifically, when determining the correction coefficient Mi based on the difference between the real-time mosquito count and the actual mosquito count, the process includes: pre-configuring a first preset quantity difference and a second preset quantity difference, and determining the correction coefficient Mi based on the relationship between the quantity difference and each preset quantity difference. When the quantity difference is less than or equal to the first preset quantity difference, the correction coefficient is determined to be N3. When the quantity difference is greater than the first preset quantity difference and less than or equal to the second preset quantity difference, the correction coefficient is determined to be N2. When the quantity difference is greater than the second preset quantity difference, the correction coefficient is determined to be N1. Wherein, the first preset quantity difference is less than the second preset quantity difference, and N1 < N2 < N3 < 1.

[0091] Specifically, when determining the correction coefficient Mi based on the difference between the real-time mosquito count and the actual mosquito count, the method further includes: obtaining the relationship between the light intensity in the rearing environment and the number of active mosquitoes to determine the real-time mosquito count; wherein, the light intensity of each area in the rearing environment is obtained, and the average light intensity of each area is obtained; based on the relationship between the average light intensity and a preset light intensity, the mosquito activity environment is determined; wherein: when the average light intensity is higher than or equal to the preset light intensity, the areas where the light intensity is greater than or equal to the average light intensity are obtained, and the number of mosquitoes in these areas is determined as the real-time mosquito count; when the average light intensity is lower than the preset light intensity, the areas where the light intensity is greater than or equal to the average light intensity are obtained, and the number of mosquitoes in these areas is determined as the real-time mosquito count; wherein: if the light intensity of all areas is less than the average light intensity, the real-time mosquito count is determined to be zero.

[0092] As can be seen, the difference between the real-time mosquito count and the historical mosquito count is used to determine whether the correction coefficient needs adjustment. When the real-time mosquito count is low, a correction coefficient is determined based on a preset range of differences, and the correction coefficient Mi is adjusted accordingly. This process also considers the impact of light intensity in the rearing environment on mosquito activity. The real-time mosquito count is determined by comparing the light intensity in different areas. When the light intensity is higher than a preset value, mosquito activity increases, and vice versa. If the light intensity in all areas is lower than the average light intensity, the real-time mosquito count is determined to be zero. This mechanism dynamically adjusts the correction coefficient by combining the relationship between light intensity and mosquito activity, ensuring the accuracy of the correction.

[0093] Understandably, the real-time mosquito count is obtained and compared with the mosquito count in adjacent historical periods. If the real-time mosquito count is higher than or equal to the historical data, it indicates that the mosquito count is stable or has increased, so no adjustment to the correction coefficient Mi is needed. However, if the real-time mosquito count is lower than the historical data, a correction coefficient is determined based on the difference between the two, and this correction coefficient is used to adjust the correction coefficient Mi. The purpose of this mechanism is to dynamically adjust the correction coefficient through data feedback to address the impact of mosquito count fluctuations on system performance or parameters. In the specific process of determining the correction coefficient, two key quantity difference values ​​are preset: a first preset quantity difference and a second preset quantity difference. Different correction coefficients are selected based on the range of the difference between the real-time and historical mosquito counts. When the quantity difference is small (less than or equal to the first preset difference), the correction coefficient N3 is selected, indicating a weak correction and small changes in the mosquito count. When the quantity difference increases (greater than the first preset difference but less than or equal to the second preset difference), the correction coefficient N2 is selected, indicating that a moderate adjustment is needed. If the difference in mosquito numbers widens further (exceeding the second preset difference), N1 is selected as the correction coefficient, indicating that a stronger correction is needed. This tiered correction mechanism ensures a flexible response to fluctuations in mosquito numbers without over-correcting due to minor fluctuations. Furthermore, the scheme incorporates the influence of ambient light intensity on mosquito activity as an auxiliary basis for adjusting the correction coefficient. By acquiring the light intensity in various areas of the rearing environment, the mosquito activity environment can be assessed. When the light intensity is higher than the preset value, mosquito activity is higher, and the number of mosquitoes in areas with higher light intensity is used as the real-time mosquito count. When the light intensity is lower, mosquito activity is relatively lower, and the number of mosquitoes in areas with lower light intensity is used as the basis, even determining the real-time mosquito count as zero when light intensity is generally low. This coupled detection method of light intensity and mosquito activity more accurately reflects the actual dynamics of mosquitoes, thus providing more reliable data support for adjusting the correction coefficient.

[0094] In the above embodiments, by establishing several experimental chambers with different glucose feeding concentrations and conducting experiments, the optimal breeding conditions for mosquitoes under different glucose concentrations can be precisely determined. This method helps researchers find the most suitable breeding environment, thereby maximizing the number of mosquitoes and improving overall breeding efficiency. Secondly, by establishing a glucose feeding formula and calculating based on the number of mosquitoes to be bred, the amount of glucose used in actual operation can be ensured to be optimal. This not only helps save resources but also avoids mosquito breeding problems caused by excessive or insufficient glucose, thereby improving the scientific nature and accuracy of the breeding process. Finally, by acquiring real-time information about the internal environment of the breeding chamber and adjusting it according to the relationship between this information and the preset environment, the breeding conditions can be dynamically optimized. Environmental changes such as temperature and humidity often affect the growth and reproduction of mosquitoes. Adjusting the glucose feeding concentration according to actual environmental changes ensures that mosquitoes are properly fed under various environmental conditions, thereby improving the stability and effectiveness of the breeding process.

[0095] In another preferred embodiment based on the above embodiments, such as Figure 2 As shown, this embodiment provides a glucose-based mosquito rearing system, including: an experimental chamber, an image acquisition module, a first analysis module, a second analysis module, and a control module. Several experimental chambers are provided, used for conducting glucose rearing concentration experiments on mosquitoes. The image acquisition module is used to acquire images of mosquitoes in each experimental chamber. The first analysis module is electrically connected to the image acquisition module. The first analysis module is used to determine the number of mosquitoes in each experimental chamber based on the mosquito images. The first analysis module is also used to determine the mosquito breeding population in each experimental chamber based on the mosquito population, and to obtain the initial number of mosquitoes and the glucose rearing concentration in the glucose rearing concentration experimental chamber where the mosquito breeding population is higher than the mosquito breeding population in the glucose rearing concentration experimental chamber. Specifically, the first analysis module is also used to establish a glucose rearing formula based on the initial number of mosquitoes and the glucose rearing concentration. The second analysis module is electrically connected to the first analysis module. The second analysis module is used to acquire the number of mosquitoes to be reared, and to determine the glucose rearing concentration based on the number of mosquitoes to be reared and the glucose rearing formula. The second analysis module is also used to acquire internal environmental information of the rearing chamber, and to determine whether to adjust the glucose rearing concentration based on the relationship between the environmental information and a preset environment. The control module is electrically connected to the second analysis module. The control module is used to feed the mosquitoes to be fed according to the adjusted glucose feeding concentration.

[0096] It is understood that the glucose-based mosquito breeding system and method in the various embodiments of the present invention have the same beneficial effects, and will not be described in detail here.

[0097] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0098] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0099] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0100] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0101] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for feeding mosquitoes based on glucose, characterized in that, include: Based on a preset environment, several experimental chambers with different glucose feeding concentrations were established, and the number of mosquitoes breeding in each experimental chamber with different glucose feeding concentrations was obtained within a preset time period. The number of mosquitoes that reproduced in experimental chambers with higher than the number of mosquitoes with the specified glucose feeding concentrations, the initial number of mosquitoes in the experimental chambers with the specified glucose feeding concentrations, and the glucose feeding concentrations were obtained. A glucose feeding relationship was then established based on the initial number of mosquitoes and the glucose feeding concentrations. Obtain the number of mosquitoes to be fed, and determine the glucose feeding concentration based on the relationship between the number of mosquitoes to be fed and the glucose feeding formula; Obtain information about the internal environment of the breeding chamber, determine whether to adjust the glucose feeding concentration based on the relationship between the environmental information and the preset environment, and feed the mosquitoes to be bred according to the adjusted glucose feeding concentration. When establishing the glucose feeding relationship based on the initial mosquito population and glucose feeding concentration, the following is included: The real-time number of mosquitoes in the glucose feeding concentration experimental chamber is obtained, and the number of mosquitoes to be bred is determined based on the real-time number of mosquitoes and the initial number of mosquitoes. The volume of the glucose feeding concentration experimental chamber was obtained, and the activity space volume of the mosquitoes was determined based on the relationship between the volume of the chamber and the initial number of mosquitoes. Based on the mosquito population, glucose feeding concentration, and mosquito activity space volume, the glucose feeding relationship is established.

2. The glucose-based mosquito rearing method as described in claim 1, characterized in that, When obtaining the number of mosquitoes to be fed and determining the glucose feeding concentration based on the number of mosquitoes to be fed and the glucose feeding formula, the process includes: Obtain the real-time number of mosquitoes to be raised and the volume of the breeding chamber; The volume of the breeding activity space for the mosquitoes to be bred is determined based on the real-time number of mosquitoes to be bred and the volume of the breeding chamber. The glucose feeding concentration is determined based on the relationship between the feeding activity space volume and the preset activity space volume in the glucose feeding formula, wherein: Obtain the space ratio between the volume of the feeding activity space and the preset activity space volume, and determine the glucose feeding concentration based on the space ratio.

3. The glucose-based mosquito rearing method as described in claim 1, characterized in that, When acquiring information about the internal environment of the feeding chamber and determining whether to adjust the glucose feeding concentration based on the relationship between the environmental information and a preset environment, the process includes: The real-time temperature inside the feeding chamber is obtained, and based on the temperature difference between the real-time temperature and the preset temperature in the preset environment, it is determined whether to adjust the glucose feeding concentration, wherein: When the temperature difference is less than ±5℃, the glucose feeding concentration is adjusted, and the adjustment coefficient of the glucose feeding concentration is determined according to the temperature difference. If the temperature difference is greater than ±5℃, it is determined that the glucose feeding concentration will not be adjusted, and an early warning message will be issued based on the temperature difference.

4. The glucose-based mosquito rearing method as described in claim 3, characterized in that, When the temperature difference is less than 5°C, and when determining the adjustment of the glucose feeding concentration, and when determining the adjustment coefficient of the glucose feeding concentration based on the temperature difference, including: A first preset temperature difference value and a second preset temperature difference value are pre-configured, and an adjustment coefficient for the glucose feeding concentration is determined based on the relationship between the temperature difference value and each of the pre-configured preset temperature difference values. When the temperature difference is less than or equal to the first preset temperature difference, the adjustment coefficient for the glucose feeding concentration is determined to be L3. When the temperature difference is greater than the first preset temperature difference and the temperature difference is less than or equal to the second preset temperature difference, the adjustment coefficient for the glucose feeding concentration is determined to be L2. When the temperature difference is greater than the second preset temperature difference, the adjustment coefficient for the glucose feeding concentration is determined to be L1. Wherein, the first preset temperature difference is less than the second preset temperature difference; L1 < L2 < L3 < 1.

5. The glucose-based mosquito rearing method as described in claim 4, characterized in that, When the adjustment factor for the glucose feeding concentration is determined to be Li, i=1,2,3, it includes: The real-time humidity inside the feeding chamber is obtained, and the relationship between the real-time humidity and the preset humidity in the preset environment is obtained to determine whether the adjustment coefficient Li needs to be corrected. When the real-time humidity is greater than or equal to the preset humidity, it is determined that the adjustment coefficient Li has not been corrected. When the real-time humidity is less than the preset humidity, it is determined whether to correct the adjustment coefficient Li based on the humidity difference between the real-time humidity and the preset humidity, wherein: If the humidity difference is less than or equal to 10%, then it is determined that the adjustment coefficient Li should be corrected, and the correction coefficient when correcting the adjustment coefficient Li is determined according to the humidity difference. If the humidity difference is greater than 10%, then it is determined that the adjustment coefficient Li will not be corrected, and a warning message will be issued based on the humidity difference.

6. The glucose-based mosquito rearing method as described in claim 5, characterized in that, When determining the correction factor for correcting the adjustment factor Li based on the humidity difference, the following are included: A first preset humidity difference value and a second preset humidity difference value are pre-configured, and a correction coefficient is determined based on the relationship between the humidity difference value and each pre-configured preset humidity difference value when correcting the adjustment coefficient Li: When the humidity difference is less than or equal to the first preset humidity difference, the correction coefficient is determined to be M1; When the humidity difference is greater than the first preset humidity difference and the humidity difference is less than or equal to the second preset humidity difference, the correction coefficient is determined to be M2. When the humidity difference is greater than the second preset humidity difference, the correction coefficient is determined to be M3; Wherein, the first preset humidity difference is less than the second preset humidity difference; M1 < M2 < M3 < 1.

7. The glucose-based mosquito rearing method as described in claim 6, characterized in that, When determining the correction coefficient as Mi, i=1,2,3, it also includes: The real-time number of mosquitoes inside the breeding chamber is obtained, and based on the relationship between the real-time number of mosquitoes and the number of mosquitoes in adjacent historical periods, it is determined whether to correct the correction coefficient Mi. When the real-time number of mosquitoes is higher than or equal to the number of mosquitoes, it is determined that the correction coefficient Mi will not be corrected. When the real-time number of mosquitoes is lower than the number of mosquitoes, the correction coefficient Mi is determined based on the difference between the real-time number of mosquitoes and the number of mosquitoes, and the correction coefficient Mi is corrected based on the correction coefficient.

8. The glucose-based mosquito rearing method as described in claim 7, characterized in that, When determining the correction coefficient Mi based on the difference between the real-time mosquito count and the actual mosquito count, the following steps are included: A first preset quantity difference and a second preset quantity difference are pre-configured, and the correction coefficient of the correction coefficient Mi is determined based on the relationship between the quantity difference and each preset quantity difference pre-configured. When the quantity difference is less than or equal to the first preset quantity difference, the correction coefficient is determined to be N3; When the quantity difference is greater than the first preset quantity difference and the quantity difference is less than or equal to the second preset quantity difference, the correction coefficient is determined to be N2. When the quantity difference is greater than the second preset quantity difference, the correction coefficient is determined to be N1; Wherein, the first preset quantity difference is less than the second preset quantity difference, and N1 < N2 < N3 < 1.

9. A glucose-based mosquito rearing system, applicable to the glucose-based mosquito rearing method according to any one of claims 1-8, characterized in that, include: The experimental chamber is provided in several forms, and the experimental chamber is used to conduct experiments on the glucose feeding concentration of the mosquitoes. An image acquisition module is used to acquire images of mosquitoes inside each of the experimental chambers; The first analysis module, electrically connected to the image acquisition module, is used to determine the number of mosquitoes in each experimental chamber based on the mosquito images in each experimental chamber. The first analysis module is also used to determine the mosquito breeding population in each experimental chamber based on the mosquito count, and to obtain the initial number of mosquitoes and glucose feeding concentration in the experimental chamber where the mosquito breeding population is higher than the mosquito breeding population in the experimental chamber with the specified glucose feeding concentration. The first analysis module is also used to establish a glucose feeding relationship based on the initial number of mosquitoes and the glucose feeding concentration; The second analysis module is electrically connected to the first analysis module. The second analysis module is used to obtain the number of mosquitoes to be fed and to determine the glucose feeding concentration based on the relationship between the number of mosquitoes to be fed and the glucose feeding formula. The second analysis module is also used to obtain the internal environmental information of the feeding chamber and to determine whether to adjust the glucose feeding concentration based on the relationship between the environmental information and the preset environment. The control module is electrically connected to the second analysis module, and the control module is used to feed the mosquitoes to be fed according to the adjusted glucose feeding concentration.

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