44 results about "Harvest time" patented technology

The invention relates to the technical field of data reasoning, and discloses a ludisia discolor harvest time prediction method and system fused with multi-source data, and the method comprises the steps: converging meteorological elements of ludisia discolor, soil profile physicochemical indexes and plant body physiological signals, and obtaining a time-space synchronization multi-dimensional information field; identifying a critical point of fundamental transformation of a growth mode in ludisia discolor, and dividing a complete growth cycle into multiple phenological stages; dimensionality reduction is carried out on the multi-dimensional data of the multi-phenological stage, tensor synthesis is carried out on the situation characteristics of the result after dimensionality reduction, and a growth situation vector is obtained; establishing a contribution degree quantification system, and endowing the growth situation vector with a contribution degree weight; correcting the growth situation vector, arranging corrected results according to a time sequence, and regarding the corrected results as a full life cycle development trajectory to deduce a physiological maturity path; when the physiological maturity path reaches a historical optimal quality convergence interval of ludisia discolor, determining an optimal harvesting window; the method can improve the prediction accuracy of the ludisia discolor harvesting time.

The invention discloses an emergent vegetation management method for increasing a biological carbon sequestration function, and belongs to the technical field of ecological system management and restoration, and the method comprises the following steps: in the stable growth period of emergent vegetation, discharging part of wetland moisture, and carrying out first mowing on overground parts of plants above the water surface; after the emergent vegetation further grows, the water level is restored to the end of the growth season, finally water is drained, secondary mowing is carried out, and all the emergent vegetation on the ground is harvested. According to the method, the overground biomass is increased through the plant photosynthetic carbon sequestration function by adjusting the appropriate harvesting time and mode of the wetland emergent vegetation, and therefore the biological carbon sequestration amount is increased. Compared with a traditional method for harvesting wetland vegetation at a time, the method has the advantages that the plant growth rate is remarkably increased, the overground biomass of the plants and the accumulation of organic carbon in surface soil are promoted, and the improvement of the wetland carbon sequestration function is facilitated.

This invention relates to a method for dense planting of grain and medicinal herbs in intercropping, specifically within the field of intercropping of crops and medicinal herbs. The development of modern agriculture through corn / Astragalus intercropping requires reducing water and fertilizer inputs while maintaining high yields. However, it faces challenges such as unscientific management and a lack of technical support for increasing yield and reducing emissions. The method described herein is implemented according to the following steps: Step 1: Pre-planting tillage; Step 2: Drip irrigation tape installation and sowing; Step 3: Irrigation and fertilization in the first year; Step 4: First corn harvest: Harvest the corn at its optimal harvest time in the planting year, and then shred the corn stalks to cover the Astragalus in the furrows; Step 5: Planting corn in the second year; Step 6: Irrigation and fertilization in the second year; Step 7: Harvesting the corn on the ridges and the Astragalus in the furrows in the second year, and shredding and returning the corn stalks to the field after the second harvest; Step 8: Tilling the furrows.

The present application provides a kind of based on machine learning's mark metabolite model prediction method of optimal harvest period of Chinese yam, steps are as follows: collecting Chinese yam samples of different harvest periods, obtain metabolomics data by analyzing Chinese yam samples through metabolomics technology;Metabolomics data are preprocessed;The feature related to the growth period of Chinese yam is obtained by using machine learning algorithm to select potential marker metabolite;LASSO regression method is used to screen potential marker metabolite to construct marker metabolite prediction model;The area under ROC curve is used to verify the constructed marker metabolite prediction model;The metabolomics data of new Chinese yam are input into the marker metabolite prediction model to obtain model score, and whether Chinese yam is suitable for harvesting is judged according to model score.The present application can accurately predict the optimal harvest period of Chinese yam, eliminate subjectivity and experience dependence, improve scientificity, reduce external environmental influence, realize Chinese yam production capacity maximization, and provide reliable technical support for agricultural production.

To simplify the growing management of agricultural products grown on farms and enable more efficient farming operations.SOLUTION: Provided is an agricultural product management system characterized in that an observation base 2 is provided near agricultural products 1 within a farm, the weather around the agricultural products 1 is observed by a weather observation device 5 provided at the observation base 2, measured weather data is transmitted to a management database 4 and stored as farmland weather data, the growth of the agricultural products 1 is predicted by the management database 4 by using the farmland weather data, and harvesting time notification means 6 for informing a farm manager of a predicted harvesting time from the management database 4 is provided.SELECTED DRAWING: Figure 2

A condition presentation device may include a condition receiving unit that receives conditions of harvest time and yield to be satisfied by plants cultivated in a plant factory. The condition prompting device can comprise a prompting unit and a condition prompting unit, on the basis of environmental control condition information indicating environmental control conditions, and growth period and yield of the plant and quality of the plant when an environmental control apparatus controls an environmental state in the plant factory according to the environmental control conditions, at least one environmental control condition candidate satisfying the conditions, and the environmental control conditions and an environmental control condition indicating a control condition of the environmental control device that controls the environmental state in the plant factory. The condition presentation device may include a selection receiving unit that receives a selection of the environmental control condition from the at least one environmental control condition candidate for control of an environmental state by the environmental control device of the plant factory.

The present application relates to improvements in lentiviral manufacturing for the production of CAR-T cell drug products wherein the manufacturing method comprises a change in time between transfection and harvest of the host cell, and a new vector ratio for transfection. Presented herein are methods of making lentiviruses at various vector ratios and the time between host cell transfection and harvest, as well as transfection compositions comprising various vector ratios.

A mechanism for monitoring cannabis and predicting or determining a harvesting time. A sensing arrangement generates a temporal sequence of VOC values, each representing a measured amount of a first set of one or more volatile organic compounds (VOCs) in the air surrounding some cannabis. This temporal sequence is then processed to determine a harvesting time, at which the cannabis is ready for harvesting (e.g., meets some predetermined criteria for achieving a harvesting goal).

The invention provides a plant growth regulator for delaying the harvesting time of cut-flower roses as well as a preparation method and application of the plant growth regulator, and belongs to the technical field of fresh cut flower cultivation. The plant growth regulator for delaying the harvesting time of the cut-flower roses comprises the following raw materials: 1-naphthylacetic acid, abscisic acid, cytokinin, a water-soluble fertilizer containing amino acid and monopotassium phosphate. According to the plant growth regulator for delaying the harvest time of the cut-flower roses, provided by the invention, the 1-naphthylacetic acid, the abscisic acid and the cytokinin are compounded together, so that the flower blooming process can be effectively delayed, and the harvest time is delayed. The plant growth regulator takes plant hormones as main raw materials, has the advantages of environmental friendliness, safety, harmlessness, low cost and the like, and further accurately regulates and controls the flower development process of the cut-flower roses by ensuring normal hormone signal transduction and development regulation and control. The growth regulator can effectively delay the harvesting time, powerfully ensures that the cut-flower roses are accurately marketed as required and the quality of the cut-flower roses is improved, and remarkably improves the production benefits and the industrial value.

1. A computer-implemented system for managing a tea harvest, the system comprising: a data store storing data defining one or more growing areas of a tea plantation; for each of the growing areas of the tea plantation defined in the data store, a growth and yield prediction module configured to model a plurality of tea plants within the respective growing area, thereby predicting the growth of each tea plant within the respective growing area over a period of time, and therefore the yield of each growing area of ​​the tea plantation when harvested; the growth and yield prediction module further configured to predict a recommended harvest time to achieve a desired quality of tea and a desired yield of tea; and a user interface module configured to provide a user with the predicted yield of each growing area of ​​the tea plantation when harvested.

A two-year-three-cropping planting method for areca taros, flue-cured tobaccos and rice comprises the following steps that 1, the areca taros are planted; planting the seed taros in the field from February to March in the same year; in September to November, mother taros of areca taros 2) flue-cured tobacco planting; the flue-cured tobaccos are transplanted in the field in spring of the second year, and leaves are harvested in time from May to June in the current year; 3) rice planting; performing irrigation, soil preparation and fertilization treatment on the field, planting rice, and harvesting the rice from September to October in the same year. According to the planting method, a new two-year three-cropping planting method for the areca taros, the flue-cured tobaccos and the rice is constructed, the harvesting time can be dispersed through a two-year three-cropping mode, labor tension caused by simultaneous harvesting is avoided, smooth crop harvesting is ensured, and the yield of the crops is increased. And moreover, the problems that diseases and insect pests are easily increased due to continuous cropping of areca taros and the quality and yield of succeeding crops are affected due to soil nutrient imbalance are solved, so that higher economic benefits are obtained, and new power is provided for local economic development.

The invention provides a wax apple growth cycle intervention method. The wax apple growth cycle intervention method comprises the following steps of fertilization and tree cultivation, preset predicted harvesting time, girdling, shoot control, flower forcing, pruning, flower thinning, topdressing and wax apple fruit harvesting. According to the method, the balance of vegetative growth and reproductive growth is manually regulated and controlled, the syzygium samarangense is specifically treated in stages, and the steps of fertilization, flower forcing with pesticides, pruning and the like are matched, so that the syzygium samarangense anti-season planting is achieved, the yield and quality of the anti-season syzygium samarangense are effectively improved, simple planting management is implemented, cost is low, implementation is easy, and the method is suitable for large-scale popularization and application. The key technical difficulty of anti-season syzygium samarangense planting is solved, the purpose of anti-season production of syzygium samarangense can be achieved, the syzygium samarangense can appear on the market in an off-peak mode, the economic benefits of syzygium samarangense trees are improved, and under the condition that the growth cycle of syzygium samarangense is intervened, the purposes of increasing the number of flower spikes, increasing the flowering rate, increasing the yield of syzygium samarangense and guaranteeing the taste and quality of syzygium samarangense fruits can be achieved. The method is suitable for large-scale planting and implementation.

The invention provides a random forest algorithm-based grain identification method based on old and new, and belongs to the technical field of grain storage management. Comprising the following steps: obtaining grain quality data which at least comprises mildewed grains, impurities, volume weight, moisture and imperfect grains, and carrying out abnormal data processing, missing value filling and data normalization processing on the grain quality data; determining an output category based on the difference value between the grain quality inspection time and the harvest time, and if the difference value between the quality inspection time and the harvest year is 0, defining the output category as a new grain category, otherwise, defining the output category as an old grain category; and performing classification prediction on new grains and old grains through a random forest model by taking the preprocessed grain quality data as input. The new grains and the old grains are quickly and accurately classified, the occurrence of the event of taking old grains as new grains is effectively avoided, and the safety and efficiency of grain warehousing are improved.

The invention relates to the technical field of fresh cut flower cultivation, and provides a method for promoting growth of axillary buds of cut-flower roses by applying potassium ions and calcium ions with proper concentrations, which comprises the following steps: applying a fertilizer with the potassium ion concentration of 1.5-3.0 mmol / L and the calcium ion concentration of 3.0-4.5 mmol / L after pruning the cut-flower roses; according to the method for promoting the growth of the axillary buds of the cut-flower roses, provided by the invention, by applying potassium and calcium ions with proper concentration, on one hand, the dormancy of the axillary buds is relieved, and after the potassium and calcium ions with proper concentration are applied, the axillary buds start to grow quickly, so that the harvesting time of the next crop of flowers is obviously advanced; on the other hand, the height of the plants is increased within the same growth time, and therefore the quality of the cut-flower roses is improved.

The invention relates to a plant rapid breeding system and method based on optical detection. The system comprises an optical monitoring unit and a processing unit, and the optical monitoring unit is at least provided with a first monitoring part used for acquiring optical information of a first morphological characteristic of a plant and a second monitoring part used for acquiring optical information of a second morphological characteristic of the plant. The first monitoring part is started at least in response to a processing result obtained by the processing unit based on the monitoring data of the second monitoring part, and the processing result at least represents that the growth node of any cultivated plant enters a harvesting period. The method at least comprises the following steps: carrying out optical information acquisition on part of morphological characteristics of a plant by utilizing one or one group of monitoring parts; optical information collection is carried out on the other part of morphological characteristics of the plant through the other monitoring part or the other group of monitoring parts, and the other part of morphological characteristics at least comprise the harvesting tissue of the plant, so that the harvesting time and the harvesting scheme of the harvesting tissue of the plant are estimated and determined.

The invention belongs to the field of crop disease resistance identification. The invention discloses a method for accurately evaluating the resistance of a corn variety to fusarium verticillium ear rot. The method comprises the following steps: inoculating corn ears by adopting a needling inoculation method, harvesting, threshing and grinding the ears in a harvesting period, measuring the content of fumonisins in grains, and evaluating the resistance of a corn variety to fusarium verticillium ear rot through the content of fumonisins in the grains. According to the method, the resistance of the corn variety to the fusarium verticillium ear rot can be evaluated more accurately, and the corn variety harmful to human and livestock is eliminated, so that the food safety is guaranteed.

An object of the system according to the embodiment is to enable even a person who does not have knowledge about agriculture to identify characteristics of land, diseases of plants, and pests, and to realize stable production of agricultural crops in response to climate change.SOLUTION: A system includes a climate data analysis part, an image analysis part, a land characteristic analysis part, and a harvest prediction part. The climate data analyzer analyzes the climate data. The image analysis part specifies the disease and the harmful insect of the plant based on the weather data analyzed by the weather data analysis part. The land characteristic analysis unit analyzes the characteristics of the land based on the disease or pest of the plant specified by the image analysis unit. The harvest prediction unit predicts a harvest period and a harvest amount of the crop based on the property of the land analyzed by the land property analysis unit.SELECTED DRAWING: Figure 1

To provide an agricultural grain reaping auxiliary mechanism capable of harvesting a large amount of beans such as adzuki beans cultivated in a large number of ridges at a time while remarkably reducing harvest loss regardless of seeding in various ridge widths, remarkably improving harvest work efficiency and remarkably shortening harvest time.SOLUTION: The air blowing device includes an air blowing pipe 4 having a plurality of sets of a pair of branch pipe 4a parts connected to a main pipe 4b part, a structure for freely adjusting an inclination and a height position to a cutting blade 22 of the tip part 4b1 part of the branch pipe, and a structure for adjusting an interval between the respective branch pipes connected to the main pipe and a substantially horizontal direction of the tip part of the branch pipe. The distal end portions of the branch pipes are narrowed in the vertical direction of the pipe line so as to eject air in a carpet shape, and have a slit-shaped ejection hole 4b1a opened forward and laterally, and each pair of branch pipes is arranged in a direction in which the distal end portions approach each other so that the air ejected in the carpet shape from the slit-shaped ejection hole intersects at the distal end position of the cutting blade.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: The system includes a sensor means for measuring the humidity of soil, a sensor means for measuring temperature, a sensor means for measuring sunshine hours, a server means for collecting and analyzing data acquired from the respective sensor means, a control means for controlling watering and other environmental adjustment on the basis of a data analysis result, and an interface means for allowing a user to confirm a growth state and harvest timing.SELECTED DRAWING: Figure 1

The invention discloses a comprehensive treatment method and system for improving the germination rate of epimedium seeds. The method comprises the following steps: S1, intelligently judging the harvesting time; s2, standardized after-ripening treatment: putting the harvested seeds with fruits in a ventilated environment with the temperature of 20-22 DEG C and the humidity of 50%-60% for in-vitro after-ripening, and turning every day until the fruit state reaches a preset after-ripening end point; s3, dynamic controlled atmosphere storage: mixing the seeds subjected to after-ripening treatment with sterilized river sand, storing in a controlled atmosphere environment with the temperature of 6-10 DEG C and the CO2 concentration of 5%, regularly ventilating, and adding a vitamin E preservative into the mixed matrix; s4, breaking dormancy and accelerating germination; and S5, process monitoring and parameter optimization. According to the method, a double-channel intelligent judgment model of image form recognition and physiological index (soluble sugar) detection is constructed, the limitation of purely depending on appearance experience is overcome, form maturity and physiological maturity indexes are combined, the optimal initial quality of the harvested seeds is ensured, and a foundation is laid for the high germination rate from the source.

The plant management apparatus may include an environment control unit that controls an environment of a plurality of cultivation racks for cultivating plants in a plant workshop for at least one cultivation rack among the plurality of cultivation racks by controlling an environment control device for controlling an environment state in the plant workshop. The plant management apparatus may include a receiving unit that receives information indicating a harvest time of a plant. The plant management apparatus may include a selection unit that selects, based on environmental control information indicating a relationship between a growing period of a plant and an environmental control condition of an environmental control device, environmental control information indicating a relationship between the growing period of the plant and the environmental control condition. At least one cultivation shelf satisfying a harvesting time condition is selected as a target cultivation shelf from among the plurality of cultivation shelves for cultivating plants in an environment controlled by the environment control device under respective environment control conditions.

The application belongs to the technical field of soil improvement, and discloses a sandy ginger black soil low-yield field soil improvement method, which comprises the following steps: adding a soil improvement agent, then deep ploughing the soil, planting wheat, and returning straw to the field at harvest time, wherein the soil improvement agent comprises the following components in parts by weight: dry animal manure 32 parts, soybean meal 21 parts, humic acid 18 parts, edible mushroom residue 14 parts, water-retaining agent 11 parts, compound fertilizer 2 parts, resin-coated urea 1 part and microbial inoculant 1 part. The application improves the soil condition, thereby improving the crop yield.

We provide the system. [Solution] Means for obtaining environmental information, A means for integrating and standardizing acquired environmental information, An artificial intelligence model for evaluating and predicting plant growth based on integrated information, A means to propose the optimal management methods and harvest times for each plant, Means for notifying the user's terminal of suggestions and warnings, A means for monitoring and managing information on urban green spaces and agriculture in real time, A system that includes this.

The system according to the embodiment aims to enable individuals to easily grow high-quality coffee at home. [Solution] A system according to an embodiment includes a receiving unit, a generating unit, a monitoring unit, and a predicting unit. The receiving unit receives information from a user. The generating unit sets environmental conditions based on the information received by the receiving unit. The monitoring unit monitors the environmental conditions set by the generating unit. The predicting unit predicts the progress of cultivation or the harvest time based on the information monitored by the monitoring unit.

This invention discloses a method for targeted bud retention and production period control in banana cultivation, including bud retention principles, production period control, selection of primary buds, forced development of secondary buds, and production management. Specifically, production period control involves forcing secondary buds to develop based on the current banana crop's growth period, the following year's harvest time, and climatic conditions. For large banana plantations, this is done in 2-4 batches, with each batch spaced 0.5-3 months apart, achieving staggered market entry, reducing the risk of concentrated market entry, and improving economic benefits. Taking Guangxi as an example, the peak banana market period in Guangxi is from September to early October, with lower prices. Therefore, the time for retaining secondary buds is between July and early August and between late September and early November. Using this method, banana buds can be selectively retained at deeper buds, improving yield and quality, concentrating and controlling the production period, simplifying management, increasing economic benefits, and extending the management lifespan of the banana plantation.

An object of a system according to an embodiment is to accurately determine an optimum harvest time of fruit and efficiently harvest the fruit.SOLUTION: A system according to an embodiment includes an imaging and sweetness determination machine, a generation AI, a notifier, an automatic harvesting robot, and a harvesting box. The imaging and sweetness determination machine measures the sugar content of the fruit. The generation AI analyzes the sweetness measured by the imaging and sweetness determination machine, and calculates an optimum harvesting time. The notifying unit notifies the harvesting time calculated by the generation AI. The automatic harvesting robot harvests the fruit based on the harvest time notified by the notification unit. The harvest box stores harvested fruits.SELECTED DRAWING: Figure 1

To provide a method for determining the harvest time of henna leaves for raw material for lawson production that contain a high content of lawson, and to provide a method for producing henna leaves for raw material for lawson production with a high content of lawson.SOLUTION: Provided is a method comprising: (1) starting henna cultivation in an area where the average daily temperature is 0°C or higher; (2) cultivating henna until the tree height is 0.8 m or more; (3) continuing to cultivate henna and measuring an amount of precipitation, temperature, and an amount of solar energy in the area; (4) calculating cumulative precipitation for the most recent 3 months or the most recent 4 months, cumulative average temperature for the most recent 5 or 6 months, and cumulative solar energy for the most recent 6 or 7 months; and (5) determining that it is the appropriate time for harvesting, or harvesting the henna leaves, if the value calculated in (4) above falls under any one of the followings (a) to (f): (a) cumulative precipitation in the last three months being less than 55 mm; (b) cumulative precipitation in the last four months being less than 70 mm; (c) cumulative average temperature over the past 5 months being less than 150°C; (d) cumulative average temperature over the past 6 months being less than 170°C; (e) cumulative solar energy for the most recent 6 months being less than 39 kWh; and (f) the cumulative solar energy for the most recent 7 months being less than 45 kWh.SELECTED DRAWING: None

The invention discloses a corn kernel maturity monitoring method based on a red edge normalized vegetation index, and belongs to the field of maturity monitoring, and the method comprises the following steps: 1, extracting unmanned aerial vehicle image corn reflectivity; step 2, acquiring parameters of corn leaves and canopies and parameters of sun and unmanned aerial vehicle sensors to perform PROSAIL model simulation; step 3, simulating reflectivity scale conversion; step 4, determining optimal matching through a cost function; 5, analyzing the correlation between the vegetation index, the canopy chlorophyll and the water content of the corn kernels; step 6, vegetation index sensitivity analysis; and step 7, determining an optimal vegetation index and a corn maturity drawing. According to the corn kernel maturity monitoring method based on the red-edge normalized vegetation index, the water content condition of the corn kernels can be rapidly identified in the corn maturity period through the image vegetation index, so that maturity monitoring of corn crops and arrangement of harvesting time are achieved.

Described herein is a portable seed moisture content measuring system based on infrared reflection spectroscopy. The system comprises a portable SMC readout console and a portable seed threshing apparatus. The portable SMC readout console is a handheld device comprising a near-infrared sensor fixture. The sensor fixture comprises a base plate, one or more light emitting diodes (LEDs) on the base plate and oriented obliquely, The LEDs are configured to emit a beam of near infrared light to a seed sample and a photodetector disposed at a center of the base plate receives the reflected light. The portable seed threshing apparatus provides clean seeds for the SMC readout console.

The invention relates to the technical field of agricultural detection, in particular to a method for judging the optimal harvest time of Chinese herbaceous peony based on a soft X-ray imaging technology, which comprises the following steps: S1, collecting Chinese herbaceous peony samples according to a time gradient; s2, performing embedding and slicing treatment on the root of the peony sample; s3, scanning at double energy points of 530 eV and 545 eV by adopting a soft X-ray imaging system, and acquiring an oxygen element distribution image of the starch granules on the basis of oxygen element absorption edge characteristics; s4, processing the starch grain distribution image to obtain an oxygen element specificity distribution diagram; and S5, quantitatively detecting the average gray value of the starch granules through image analysis software, and judging the optimal harvesting time. According to the method, high-resolution imaging and quantitative analysis of the Chinese herbaceous peony root starch granules are realized and the optimal harvesting time of Chinese herbaceous peony is determined by utilizing the high sensitivity of soft X-rays to oxygen element absorption edge characteristics at a specific energy point.