Sugar cane variety evaluation method and system suitable for whole-process mechanized production

Abstract

The invention relates to the technical field of sugar cane variety evaluation, and discloses a sugar cane variety evaluation method and system suitable for whole-process mechanized production, which are used for planting different varieties of sugarcanes. Calculating a germination factor FY of the sugarcane in the germination stage according to the germination rate MY and the tillering rate FN; calculating a growth factor SZ of the sugarcane in a growth stage and a harvesting factor of the sugarcane in a harvesting stage; calculating the fresh-keeping rate BX of the sugarcane in each test field after harvesting, and calculating an evaluation score PJ in combination with a germination factor FY, a growth factor SZ, a harvesting factor SH and a mechanical planting cost JX; the evaluation scores PJ calculated by each test field are arranged in a descending order, the sugarcane varieties with the evaluation scores PJ arranged in the first three are used as the sugarcane products suitable for whole-process mechanical production, different varieties of sugarcanes can be accurately evaluated, and it is guaranteed that the finally selected sugarcane variety is suitable for whole-process mechanical production.

Description

Technical Field

[0001] The present invention relates to the technical field of sugar cane variety evaluation, and more specifically to a sugar cane variety evaluation method and system suitable for full-process mechanized production. Background Art

[0002] Sucrose is the main component of sugar and a kind of disaccharide. It is formed by the condensation and dehydration of the hemiacetal hydroxyl group of one molecule of glucose and the hemiacetal hydroxyl group of one molecule of fructose. Sucrose has a sweet taste and no odor. It is easily soluble in water and glycerol and slightly soluble in alcohol. Sucrose can increase the nutritional value and taste of food.

[0003] The sugar industry is related to people's livelihood and is the strategy and foundation for the development of the agricultural economy. Due to the limitations of land resources, technology, equipment, organization and management, the mechanization of the entire sugarcane production process has not yet achieved the economic benefits that the mechanization system should bring, nor has it achieved the ideal yield through the combination of agricultural machinery and agronomic practices;

[0004] The sugar industry involves people's livelihoods and plays a strategic and fundamental role in the development of the national economy. In sugarcane fields, the efficient and cost-effective use of machinery depends on matching crop varieties and agronomic practices. In the breeding process, the traits required for mechanical operation have not been considered. Therefore, in recent years, mechanical harvesting experiments and proofs have shown that sugarcane varieties are generally not conducive to mechanical operation. In sugarcane breeding, priority should be given to traits that are conducive to improving mechanical operation efficiency, reducing impurities in machine-harvested raw sugarcane, minimizing losses caused by machine harvesting, and extending the life of decay capacity. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the implementation regulations of the present invention provide a method and system for evaluating sugar cane varieties suitable for fully mechanized production to solve the technical problems raised in the background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for evaluating sugar cane varieties suitable for full mechanized production, comprising the following steps:

[0007] Step S1, planting different varieties of sugarcane in different test sites;

[0008] Step S2, calculating the germination factor FY of sugarcane at the germination stage according to the germination rate MY and the tillering rate FN;

[0009] Step S3, calculating the growth factor SZ of sugarcane in the growth stage and the harvest factor of sugarcane in the harvest stage;

[0010] Step S4, calculating the freshness rate BX of sugarcane after harvest in each test plot, and calculating the evaluation score PJ in combination with the germination factor FY, the growth factor SZ, the harvest factor SH and the mechanical planting cost JX;

[0011] Step S5: Arrange the evaluation scores PJ calculated for each test plot in descending order, and select the sugarcane varieties with the top three evaluation scores PJ as sugarcane varieties suitable for full mechanized production.

[0012] A sugar cane variety evaluation system suitable for full mechanized production, comprising a planting unit, a cost unit, a germination unit, a growth unit, a harvesting unit, a preservation unit, a central unit and an evaluation unit, wherein the planting unit is used for mechanized planting of different varieties of sugarcane in different test plots, the cost unit is used for calculating the mechanical cost of mechanical planting in each test plot, the germination unit is used for calculating the data of sugarcane at the germination stage, the growth unit is used for calculating the data of sugarcane at the growth stage, the harvesting unit is used for calculating the data of sugarcane at the harvesting stage, the central unit is used for receiving the data in the cost unit, the germination unit and the growth unit and making judgments, the preservation unit is used for calculating the preservation rate BX of sugarcane after harvest, and the evaluation unit evaluates the sugarcane varieties in all test plots;

[0013] The germination unit calculates the germination factor FY of the sugarcane seeds at the germination stage. The calculation formula of the germination factor FY is: Where n means dividing the current test plot into n standard test plots, i means the current i-th standard test plot, SLi is the number of seeds in the current i-th standard test plot, BZ is the number of seeds in each standard test plot, k1 and k2 are weights, and 0≤k1≤1, 0≤k2≤1, MY is the germination rate of all seeds in the current test plot, and FN is the tillering rate of all seeds in the current test plot after germination.

[0014] In a preferred embodiment, the calculation formula of tillering rate FN is: Where ZS is the total number of tillers after sugarcane seeds germinate, WX1 is the number of tillers that cannot produce sugar after tillering, WX2 is the number of tillers whose sugar yield is lower than the standard sugar yield after tillering, and the germination rate MY is the percentage of germinated seeds in the current test site to all seeds.

[0015] In a preferred embodiment, the growth unit calculates the growth factor SZ for sugarcane growth. The calculation formula of the growth factor SZ is: Where ZG is the plant height of sugarcane in the current test site, JC is the diameter length of sugarcane in the current test site, JJ is the stem diameter of sugarcane in the current test site, JZ is the diameter weight of sugarcane in the current test site, DF is the lodging rate of sugarcane in the current test site, and a1, a2, a3, and a4 are all positive integer weight factors.

[0016] In a preferred embodiment, the harvesting unit calculates the harvesting factor SH of sugarcane growth, and the calculation formula of the harvesting factor SH is: Where HZ is the impurity rate of non-sugar products when the sugarcane is harvested in the current experimental field, CS is the net weight obtained when the sugarcane is harvested, LD is the total mass of sugarcane that is lost when the sugarcane is harvested, LD is the total mass of sugarcane that is lost when the sugarcane is harvested, SS is the total mass of sugarcane stalks lost when the sugarcane tips are harvested, and LS is the total mass of sugarcane stalks lost when the sugarcane is harvested.

[0017] In a preferred embodiment, the germination factor FY calculated by the germination unit, the growth factor SZ calculated by the growth unit and the harvest factor SH calculated by the harvest unit are all sent to a central unit, which receives the germination factor FY, the growth factor SZ and the harvest factor SH and compares them with the germination threshold FYY, the growth threshold SZY and the harvest threshold SHY respectively; when the germination factor FY < germination threshold FYY, the growth factor SZ < growth threshold SZY and the harvest factor SH < harvest threshold SHY, if any one of them is met, the current test site is directly judged as unqualified; only when the germination factor FY, the growth factor SZ and the harvest factor SH are all greater than or equal to their corresponding thresholds, the central unit sends the germination factor FY, the growth factor SZ and the harvest factor SH to the evaluation unit.

[0018] In a preferred embodiment, the fresh-keeping unit calculates the fresh-keeping rate BX of each test plot of sugarcane after harvest. The calculation formula of the fresh-keeping rate BX is: Wherein T is the total number of days after the sugarcane is harvested, j is the number of days that the current sugarcane has been stored, ZTJ is the sugar content of the sugarcane after being stored for j days, and CZ is the sugar content of the sugarcane when it is just harvested. The fresh-keeping unit sends the calculated fresh-keeping rate BX to the evaluation unit.

[0019] In a preferred embodiment, the evaluation unit receives the germination factor FY, the growth factor SZ, the harvest factor SH, receives the freshness rate BX sent by the preservation unit and the mechanical planting cost JX of each test plot sent by the cost unit, and the evaluation unit calculates the evaluation score PJ. The calculation formula of the evaluation score PJ is PL=BX(T1×FY+T2×SZ+T3×SH+T4×CB), wherein T1, T2, T3, T4 are set adjustment values, and T1+T2+T3+T4=1, and T1, T2, T3 and T4 can all be adjusted between 0-0.5.

[0020] In a preferred embodiment, the evaluation unit arranges the evaluation scores PJ calculated for each test plot in descending order, and the evaluation unit uses the test plot corresponding to the first-ranked evaluation score PJ as the optimal test plot, and the evaluation unit uses the mechanized production sugarcane variety corresponding to the optimal test plot as the sugar cane variety most suitable for full-process mechanized production, and the evaluation unit screens out the top three sugarcane varieties with the evaluation scores PJ, and the evaluation unit uses the three sugar cane varieties as sugar cane varieties suitable for full-process mechanized production.

[0021] Technical effects and advantages of the present invention:

[0022] 1. In the evaluation of sugarcane varieties suitable for full mechanized production, the present invention divides the growth of sugarcane into three parts: germination stage, growth stage and harvest stage, and calculates the germination factor FY, growth factor SZ and harvest factor SH respectively. The calculated evaluation score PJ can accurately evaluate different varieties of sugarcane, and select the sugarcane varieties with the top three evaluation scores PJ as sugar cane varieties suitable for full mechanized production, so that they are more suitable for full mechanized production;

[0023] 2. The present invention calculates the freshness preservation rate BX. After the sugarcane is harvested, it needs to go through the steps of preservation and transportation in the sugar making process. Therefore, the sugar loss of the sugarcane during preservation is taken into consideration, so that the present invention considers more comprehensive factors when conducting the evaluation, thereby ensuring the accuracy of the evaluation.

[0024] 3. When evaluating, the present invention comprehensively considers five different factors, namely, germination factor FY, growth factor SZ, harvest factor SH, freshness rate BX and mechanical planting cost JX. The calculated evaluation score PJ is more comprehensive and can avoid the situation where a certain factor has too much influence and causes problems in the evaluation. The larger the calculated evaluation score PJ, the more suitable the variety is for full mechanized production. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0026] Figure 2 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0027] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. In addition, the forms of the various structures recorded in the following embodiments are only examples. The method and system for evaluating sugar cane varieties suitable for full mechanized production involved in the present invention are not limited to the various structures recorded in the following embodiments. All other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0028] Reference Figure 1 The present invention provides a method for evaluating sugar cane varieties suitable for full-process mechanized production, comprising the following steps:

[0029] Step S1, planting different varieties of sugarcane in different test sites;

[0030] Step S2, calculating the germination factor FY of sugarcane at the germination stage according to the germination rate MY and the tillering rate FN;

[0031] Step S3, calculating the growth factor SZ of sugarcane in the growth stage and the harvest factor of sugarcane in the harvest stage;

[0032] Step S4, calculating the freshness rate BX of sugarcane after harvest in each test plot, and calculating the evaluation score PJ in combination with the germination factor FY, the growth factor SZ, the harvest factor SH and the mechanical planting cost JX;

[0033] Step S5: Arrange the evaluation scores PJ calculated for each test plot in descending order, and select the sugarcane varieties with the top three evaluation scores PJ as sugarcane varieties suitable for full mechanized production.

[0034] In the embodiment of the present application, in the evaluation of the suitability of sugarcane varieties for full mechanized production, the growth of sugarcane is first divided into three parts: germination stage, growth stage and harvest stage, and the germination factor FY, growth factor SZ and harvest factor SH are calculated respectively. Then, the evaluation score PJ calculated according to the preservation value BX and the mechanical planting cost JX can accurately evaluate different varieties of sugarcane, and the sugarcane varieties with the top three evaluation scores PJ are selected as sugar cane varieties suitable for full mechanized production. The evaluated sugarcane varieties consider enough factors to make them more suitable for full mechanized production.

[0035] Reference Figure 2A sugar cane variety evaluation system suitable for full mechanized production includes a planting unit, a cost unit, a germination unit, a growth unit, a harvesting unit, a preservation unit, a central unit and an evaluation unit. The planting unit is used to carry out mechanized planting of different varieties of sugarcane in different test plots. The cost unit is used to calculate the mechanical cost of mechanical planting in each test plot. The germination unit is used to calculate the data of sugarcane in the germination stage. The growth unit is used to calculate the data of sugarcane in the growth stage. The harvesting unit is used to calculate the data of sugarcane in the harvesting stage. The central unit is used to receive the data in the cost unit, the germination unit and the growth unit and make judgments. The preservation unit is used to calculate the preservation rate BX of sugarcane after harvest. The evaluation unit evaluates the sugarcane varieties in all test plots.

[0036] In the embodiments of the present application, when evaluating and screening sugarcane varieties suitable for full mechanization, the planting environment of the different test plots selected is kept consistent. Therefore, after the different varieties are planted, the different test plots are used as units for comparison to ensure the accuracy of the final comparison results.

[0037] Referring to the figure, the germination unit calculates the germination factor FY of sugarcane seeds at the germination stage. The calculation formula of the germination factor FY is Where n means that the current test plot is divided into n standard test plots, i means the current i-th standard test plot, SLi is the number of seeds in the current i-th standard test plot, BZ is the number of seeds in each standard test plot, k1 and k2 are weights, and 0≤k1≤1, 0≤k2≤1, MY is the germination rate of all seeds in the current test plot, FN is the tillering rate of all seeds in the current test plot after germination, and the calculation formula of tillering rate FN is: Where ZS is the total number of tillers after sugarcane seeds germinate, WX1 is the number of tillers that cannot produce sugar after tillering, WX2 is the number of tillers whose sugar yield is lower than the standard sugar yield after tillering, and the germination rate MY is the percentage of germinated seeds in the current test site to all seeds.

[0038] In the embodiment of the present application, when sugarcane is in the germination stage, it includes two stages: seed germination and tillering after seed germination. Therefore, the present application divides each test plot into n standard test plots based on the germination rate MY and tillering rate FN of these two stages. The difference between the number of seeds in each standard test plot and the number of standard seeds is calculated. The larger the calculated difference is, the uneven distribution of seeds in different standard test plots is. When the seeds are uneven, the germination rate MY and the tillering rate FN will be reduced accordingly. Therefore, in the calculation formula of the germination factor FY, the seed distribution is taken into consideration, and the calculated germination factor FY can more accurately reflect the growth of sugarcane seeds in the germination stage.

[0039] Referring to the figure, the growth unit calculates the growth factor SZ of sugarcane growth. The calculation formula of the growth factor SZ is: Where ZG is the plant height of sugarcane in the current test site, JC is the diameter length of sugarcane in the current test site, JJ is the stem diameter of sugarcane in the current test site, JZ is the diameter weight of sugarcane in the current test site, DF is the lodging rate of sugarcane in the current test site, and a1, a2, a3, and a4 are all positive integer weight factors.

[0040] In the embodiments of the present application, when sugarcane is in the growth stage, the plant height, diameter length, stem diameter and diameter weight of the sugarcane will have a certain degree of influence on the sugar yield in the later stage, and the plant height, diameter length, stem diameter and diameter weight will directly affect the lodging rate, and the lodging rate will also affect the sugar yield in the later stage. The higher the lodging rate, the lower the sugar yield. Therefore, when calculating the growth factor SZ, the present application places the lodging rate in the denominator. As the lodging rate increases, the overall value will increase, thereby ensuring that the calculated growth factor SZ can accurately reflect the situation of the sugarcane in the growth stage.

[0041] Referring to the figure, the harvesting unit calculates the harvesting factor SH of sugarcane growth. The calculation formula of the harvesting factor SH is: Where HZ is the impurity rate of non-sugar products when the sugarcane is harvested in the current experimental field, CS is the net weight obtained when the sugarcane is harvested, LD is the total mass of sugarcane that is lost when the sugarcane is harvested, LD is the total mass of sugarcane that is lost when the sugarcane is harvested, SS is the total mass of sugarcane stalks lost when the sugarcane tips are harvested, and LS is the total mass of sugarcane stalks lost when the sugarcane is harvested.

[0042] In the embodiment of the present application, when calculating the harvest factor SH, after the sugarcane is harvested, there will be non-sugar products. Therefore, 1-HZ is used to obtain the content of sugar products. However, when the sugarcane is harvested, there will be losses. The present application calculates the net weight CS obtained when the sugarcane is harvested and the weight under various loss conditions, and then obtains the harvest situation of the sugarcane, that is, Here is the harvest situation of sugarcane. By multiplying it with the content of sugar products, we can get the harvest situation of sugar products. Then the harvest factor SH of this application can accurately calculate the harvest situation of sugar products.

[0043] Referring to the figure, the germination factor FY calculated by the germination unit, the growth factor SZ calculated by the growth unit and the harvest factor SH calculated by the harvest unit are all sent to the central unit. The central unit receives the germination factor FY, the growth factor SZ and the harvest factor SH and compares them with the germination threshold FYY, the growth threshold SZY and the harvest threshold SHY respectively. When the germination factor FY < germination threshold FYY, the growth factor SZ < growth threshold SZY and the harvest factor SH < harvest threshold SHY, if any one of them is met, the current test site is directly judged as unqualified. Only when the germination factor FY, the growth factor SZ and the harvest factor SH are all greater than or equal to their corresponding thresholds, the central unit sends the germination factor FY, the growth factor SZ and the harvest factor SH to the evaluation unit.

[0044] In the embodiment of the present application, after calculating the germination factor FY, the growth factor SZ and the harvest factor SH, if a large yield reduction occurs in any stage of the three different growth stages of sugarcane, the final sugar product will have a substantial yield reduction. Therefore, only when the germination factor FY, the growth factor SZ and the harvest factor SH are all greater than or equal to their corresponding thresholds, they remain in a relatively stable state even when there are different changes and fluctuations in the three different growth stages. Therefore, the test site when any of the germination factor FY, the growth factor SZ and the harvest factor SH is less than the threshold is directly judged as an unqualified test site, thereby reducing unnecessary labor.

[0045] Referring to the figure, the fresh-keeping unit calculates the fresh-keeping rate BX of each test plot of sugarcane after harvest. The calculation formula of the fresh-keeping rate BX is: Wherein T is the total number of days after the sugarcane is harvested, j is the number of days that the current sugarcane has been stored, ZTJ is the sugar content of the sugarcane after being stored for j days, and CZ is the sugar content of the sugarcane when it is just harvested. The fresh-keeping unit sends the calculated fresh-keeping rate BX to the evaluation unit.

[0046] In the embodiments of the present application, after the sugarcane is harvested, it needs to go through preservation and transportation in the sugar-making process. Therefore, the sugar loss of the sugarcane during preservation is taken into consideration, so that the factors considered in the evaluation of the present application are more comprehensive and the accuracy of the evaluation is guaranteed.

[0047] Referring to the figure, the evaluation unit receives the germination factor FY, the growth factor SZ, the harvest factor SH, receives the freshness rate BX sent by the freshness preservation unit and the mechanical planting cost JX of each test plot sent by the cost unit, and calculates the evaluation score PJ. The calculation formula of the evaluation score PJ is PL=BX(T1×FY+T2×SZ+T3×SH+T4×CB), where T1, T2, T3, and T4 are set adjustment values, and T1+T2+T3+T4=1, and T1, T2, T3, and T4 can all be between 0-0. .5, the evaluation unit arranges the evaluation scores PJ calculated for each test plot in descending order, and the evaluation unit takes the test plot corresponding to the first evaluation score PJ as the optimal test plot, the evaluation unit takes the mechanized production sugarcane variety corresponding to the optimal test plot as the sugar cane variety most suitable for full mechanized production, the evaluation unit screens out the top three sugarcane varieties with the evaluation scores PJ, and the evaluation unit takes the three sugar cane varieties as sugar cane varieties suitable for full mechanized production.

[0048] In the embodiment of the present application, five different factors, namely, germination factor FY, growth factor SZ, harvest factor SH, freshness rate BX and mechanical planting cost JX, are comprehensively considered during the evaluation. The calculated evaluation score PJ is more comprehensive and can avoid the situation where a certain factor has too much influence and causes problems in the evaluation. The larger the calculated evaluation score PJ, the more suitable the variety is for full mechanized production. The present application selects the first three sugar cane varieties as sugar cane varieties suitable for full mechanized production, so that when they are finally planted, they can be selected according to the actual planting site to make them more suitable for full mechanized production.

[0049] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The units and algorithm steps of each example described in the embodiment can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0050] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0051] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0052] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for evaluating sugar cane varieties suitable for full mechanized production, characterized in that: The following steps are involved: Step S1, planting different varieties of sugarcane in different test sites; Step S2, calculating the germination factor FY of sugarcane at the germination stage according to the germination rate MY and the tillering rate FN; Step S3, calculating the growth factor SZ of sugarcane in the growth stage and the harvest factor of sugarcane in the harvest stage; Step S4, calculating the freshness rate BX of sugarcane after harvest in each test plot, and calculating the evaluation score PJ in combination with the germination factor FY, the growth factor SZ, the harvest factor SH and the mechanical planting cost JX; Step S5: Arrange the evaluation scores PJ calculated for each test plot in descending order, and select the sugarcane varieties with the top three evaluation scores PJ as sugarcane varieties suitable for full mechanized production.

2. A sugar cane variety evaluation system suitable for full mechanized production, using the sugar cane variety evaluation method suitable for full mechanized production as claimed in claim 1, characterized in that: It includes a planting unit, a cost unit, a germination unit, a growth unit, a harvesting unit, a preservation unit, a central unit and an evaluation unit. The planting unit is used to carry out mechanized planting of different varieties of sugarcane in different test plots. The cost unit is used to calculate the mechanical cost of mechanical planting in each test plot. The germination unit is used to calculate the data of sugarcane in the germination stage. The growth unit is used to calculate the data of sugarcane in the growth stage. The harvesting unit is used to calculate the data of sugarcane in the harvesting stage. The central unit is used to receive the data in the cost unit, the germination unit and the growth unit and make judgments. The preservation unit is used to calculate the preservation rate BX of sugarcane after harvest. The evaluation unit evaluates the sugarcane varieties in all test plots. The germination unit calculates the germination factor FY of the sugarcane seeds at the germination stage. The calculation formula of the germination factor FY is: Where n means dividing the current test plot into n standard test plots, i means the current i-th standard test plot, SLi is the number of seeds in the current i-th standard test plot, BZ is the number of seeds in each standard test plot, k1 and k2 are weights, and 0≤k1≤1, 0≤k2≤1, MY is the germination rate of all seeds in the current test plot, and FN is the tillering rate of all seeds in the current test plot after germination.

3. The sugar cane variety evaluation system suitable for full mechanized production according to claim 2, characterized in that: The calculation formula of tillering rate FN is: Where ZS is the total number of tillers after sugarcane seeds germinate, WX1 is the number of tillers that cannot produce sugar after tillering, WX2 is the number of tillers whose sugar yield is lower than the standard sugar yield after tillering, and the germination rate MY is the percentage of germinated seeds in the current test site to all seeds.

4. The sugar cane variety evaluation system suitable for full mechanized production according to claim 2, characterized in that: The growth unit calculates the growth factor SZ of sugarcane growth. The calculation formula of the growth factor SZ is: Where ZG is the plant height of sugarcane in the current test site, JC is the diameter length of sugarcane in the current test site, JJ is the stem diameter of sugarcane in the current test site, JZ is the diameter weight of sugarcane in the current test site, DF is the lodging rate of sugarcane in the current test site, and a1, a2, a3, and a4 are all positive integer weight factors.

5. The sugar cane variety evaluation system suitable for full mechanized production according to claim 2, characterized in that: The harvesting unit calculates the harvesting factor SH of sugarcane growth. The calculation formula of the harvesting factor SH is: Where HZ is the impurity rate of non-sugar products when the sugarcane is harvested in the current experimental field, CS is the net weight obtained when the sugarcane is harvested, LD is the total mass of sugarcane that is lost when the sugarcane is harvested, LD is the total mass of sugarcane that is lost when the sugarcane is harvested, SS is the total mass of sugarcane stalks lost when the sugarcane tips are harvested, and LS is the total mass of sugarcane stalks lost when the sugarcane is harvested.

6. The sugar cane variety evaluation system suitable for full mechanized production according to claim 2, characterized in that: The germination factor FY calculated by the germination unit, the growth factor SZ calculated by the growth unit and the harvest factor SH calculated by the harvest unit are all sent to the central unit. The central unit receives the germination factor FY, the growth factor SZ and the harvest factor SH and compares them with the germination threshold FYY, the growth threshold SZY and the harvest threshold SHY respectively. When the germination factor FY < germination threshold FYY, the growth factor SZ < growth threshold SZY and the harvest factor SH < harvest threshold SHY, if any one of them is met, the current test site is directly judged as unqualified. Only when the germination factor FY, the growth factor SZ and the harvest factor SH are all greater than or equal to their corresponding thresholds, the central unit sends the germination factor FY, the growth factor SZ and the harvest factor SH to the evaluation unit.

7. The sugar cane variety evaluation system suitable for full mechanized production according to claim 2, characterized in that: The fresh-keeping unit calculates the fresh-keeping rate BX of each test plot of sugarcane after harvest. The calculation formula of the fresh-keeping rate BX is: Wherein T is the total number of days after the sugarcane is harvested, j is the number of days that the current sugarcane has been stored, ZTJ is the sugar content of the sugarcane after being stored for j days, and CZ is the sugar content of the sugarcane when it is just harvested. The fresh-keeping unit sends the calculated fresh-keeping rate BX to the evaluation unit.

8. The sugar cane variety evaluation system suitable for full mechanized production according to claim 2, characterized in that: The evaluation unit receives the germination factor FY, the growth factor SZ, the harvest factor SH, receives the freshness rate BX sent by the preservation unit and the mechanical planting cost JX of each test plot sent by the cost unit, and calculates the evaluation score PJ. The calculation formula of the evaluation score PJ is PL=BX(T1×FY+T2×SZ+T3×SH+T4×CB), where T1, T2, T3, and T4 are set adjustment values, and T1+T2+T3+T4=1, and T1, T2, T3, and T4 can all be adjusted between 0-0.

5.

9. The sugar cane variety evaluation system suitable for full mechanized production according to claim 8, characterized in that: The evaluation unit arranges the evaluation scores PJ calculated for each test plot in descending order, and the evaluation unit uses the test plot corresponding to the evaluation score PJ ranked first as the optimal test plot, and the evaluation unit uses the mechanized production sugarcane variety corresponding to the optimal test plot as the sugar cane variety most suitable for full mechanized production, and the evaluation unit screens out the top three sugarcane varieties with the evaluation scores PJ, and the evaluation unit uses the three sugar cane varieties as sugar cane varieties suitable for full mechanized production.

Images