Sowing Technology Research Articles

Current Status and Future Directions for Combined Tillage and Sowing Technology and Equipment

As the focus of the development of mechanized tillage and sowing, combined tillage and sowing machines have a variety of functions, such as seedbed preparation, fertilizer sowing, and pressing. Compared with the traditional single-function planter, these machines effectively shorten the operation cycle, reduce production costs, and promote increased production and income. This paper categorizes the machines into these combined rotary tillage and sowing machine, the combined disk harrow and sowing machine, and the combined multi-link tillage and sowing machine according to the form of the tillage and operation. It also systematically elaborates on the technical characteristics, application scenarios, and operational requirements of different types of combined tillage and sowing machines. Additionally, this paper outlines key technologies, such as seedbed preparation and precision sowing. Considering the current state of scientific and technological advancements and the practical needs of agricultural production, it also suggests future research directions and trends, offering valuable insights for subsequent studies in this field.

Prioritisation of Specific Wheat Sowing Technologies Based on AnalyticHierarchy Process and Farmers’ Perceptions

Selection of an appropriate wheat-sowing technology in the combine harvested paddy fields is essential for the timely sowing of wheat after harvesting paddy. The importance of parameters that affect farmers' decisions in selection of wheat sowing technology (WST) in the combine harvested paddy fields is assessed in the present work by implementing an analytical hierarchy process (AHP) technique. AHP is the most comprehensive approach for making judgements with many criteria since it supports a hierarchical structure and quantitative and qualitative features. The suitability of four most commonly used wheat sowing technologies, namely, happy seeder (T1 ), super seeder (T2 ), smart seeder (T3 ) and roto seeder (T4 ), was assessed based on the importance given to six criteria, namely, ease of use (C1 ), machine capital cost (C2 ), fuel consumption (C3 ), machine field capacity (C4 ), crop yield (C5 ), and crop germination (C6 ). Based on farmers’ perceptions and using the analytical hierarchy process approach, criteria C5 was assigned a maximum criteria priority weights of 3.21 and 3.87 for selection of T1 and T2 , respectively; while criteria C6 was assigned a maximum criteria priority weights of 3.56 and 3.63 for selection of T3 and T4 , respectively. The results showed that farmers were less concerned with machine field capacity and more focused on crop output (yield) while selecting a wheat sowing technology. Besides crop yield, crop germination and ease of use were other important factors that farmers considered highly while prioritising and selecting a wheat sowing technology for a combine harvested paddy field.

Analysis of Maize Planting Mode and Simulation and Optimization of Ridging and Fertilization Components in Arid Area of Northwest China

The arid area of Northwest China belongs to the rain-fed agricultural area of the Loess Plateau, and water resources have become one of the important factors limiting agricultural development in this area. This study employed the AquaCrop model to predict the yield advantages and environmental adaptability of maize in Dingxi City from 2016 to 2020 under two cultivation practices: ridge tillage (100% film coverage with double ridge-furrow planting) and flat planting (81.8% film coverage with wide-film planting). The numerical simulation of the tillage and fertilization process of the double-ridge seedbed was carried out by EDEM, and the key components were tested by the Box–Behnken center combination test design principle to obtain the optimal parameter combination. The results showed that ridge planting was more suitable for agricultural planting in rain-fed arid areas in Northwest China. The simulation analysis of ridging and fertilization showed that the forward speed of the combined machine was 0.50 m/s, the rotation speed of the trough wheel of the fertilizer discharger was 39 rmp, and the rotary tillage depth was 150 mm. The qualified rate of seedbed tillage was 93.6%, and the qualified rate of fertilization was 92.1%. The research shows that the whole-film double ridge-furrow sowing technology of maize is more suitable for the rain-fed agricultural area in the arid area of Northwest China. The simulation results of the ridging fertilization device are consistent with the field experiment results. The research results provide a certain technical reference for the optimization of the whole-film double ridge-furrow sowing technology.

Establishment and Parameter Calibration of a Simulation Model of Coated Cotton Seeds and Soil

Precision seeding technology is an important component of agricultural mechanization production. The precise regulation of seed movement behavior is the core of precision sowing technology and the key to improving the quality of single seed precision sowing. To accurately obtain the interaction law between seeds and soil after touching the soil, it is necessary to conduct comprehensive physical experiments to determine the simulation parameters of the seed and soil. This article takes coated cotton seeds as the research object, and the basic physical parameters of coated cotton seeds are measured through biological experiments. Based on the Hertz–Mindlin with bonding V2 contact model, a simulation model of compression between coated cotton seeds and soil is established. Using peak compression force as the response value, a combination of physical experiments and simulation simulations was used to calibrate the simulation parameters of the simulation mode of coated cotton seeds and soil. Through PB testing, it was found that four factors have a significant impact on the peak compressive force, and the parameter range was obtained. The Poisson’s ratio of coated cotton seeds was 0.14–0.26. The static friction coefficient between coated cotton seeds and steel plate was 0.38–0.58. The static friction coefficient between soil and soil was 0.3–1.2. The rolling friction coefficient between soil and soil was 0.1–0.6. Through response surface experiments with four factors and three levels, regression models were established between various factors and response values, and the optimal combination of simulation parameters was determined: the Poisson’s ratio of coated cotton seeds was 0.21; the static friction coefficient between coated cotton seed and steel plate was 0.47; the static friction coefficient between soil and soil was 0.34; and the rolling friction coefficient between soil and soil was 0.59. Based on the optimal parameter combination, the simulation of compression between coated cotton seeds and soil was continued, and the variation law of soil particle bonding bonds at different positions of coated cotton seeds during the compression process was obtained. This study provides a basis for exploring the interaction mechanism between the trencher seed soil of precision seeders and optimizing the design of critical components of cotton precision seeders.

Maturity detection of single maize seeds based on hyperspectral imaging and transfer learning

Seed maturity is closely related to seed germination, seed storage and the yield of the next generation of crops and it is an important indicator of seed quality. Maize is an important food, feed, and industrial raw material crop in China. Hyperspectral imaging technology has the advantages of spectral technology and machine vision technology and it can obtain information inside and outside the seed without damaging it. On the basis of hyperspectral imaging technology, transfer learning algorithms were used in this study to explore the transfer feasibility of maize seed maturity models amongst different varieties. Three transfer tasks were designed between different varieties on the basis of the model established for the Xianyu 335 variety. Cross-variety detection models were constructed using the classical machine-learning algorithm partial least square-linear discriminant analysis (PLS-LDA), the transfer learning algorithm transfer component analysis (TCA), and manifold embedded distribution alignment (MEDA). Results showed that the PLS-DA direct transfer model had varying degrees of model failure in all three transfer tasks. However, the average recognition accuracies of the TCA migration model and the MEDA migration model were 89.3% and 91.2%, respectively. Both of the two Transfer learning models can effectively solve the problem of different data feature distributions amongst different varieties, making the model more universal. It solves the problem of transferring the single-grain maize seed maturity detection model amongst different varieties, providing effective, stable and universal technical support for maize seed detection, which is conducive to the promotion of single-grain sowing technology and the improvement of agricultural automation level.

Analysis and Research on Production Effects of Full-Film Double Ridge-Furrow Mulching with Polyethylene Film and Biodegradable Film Based on AquaCrop

Water is an important factor limiting the development of arid rain-fed agriculture. Film mulching is an effective way to ensure yield in arid areas. However, whether biodegradable film can be used instead of polyethylene film for agricultural production in arid areas is a matter of contention. In this study, AquaCrop model simulation and field experiment were used to analyze the production effect of corn whole film double ridge furrow sowing technology covering polyethylene film (PM) and biodegradable film (BM) in Dingxi City from 2016 to 2020. The results showed that the AquaCrop simulation data have a high fitting with the field test data, and the model was suitable for simulating dry farming in Dingxi City. The best sowing time in Dingxi City is to select the average temperature to be stable at about 15 °C (around 15 April to 25 April each year), and the yield is the highest after sowing during this period. Although BM can achieve environmental protection and energy saving, it is weaker than PM in water storage and soil evaporation inhibition in arid areas. The average yield, aboveground biomass, water productivity, and harvest index of PM were 63.95%, 18.57%, 76.35%, and 38.22% higher than those of BM, respectively. In drought years, BM water stress on leaf expansion, induced stomatal closure, and premature senescence were 61%, 17%, and 9.5% higher than PM, respectively, and the stress time was 28.5 d, 5 d, and 26 d, respectively. The maximum canopy coverage and effective root zone water content were 24.5% and 30.49% lower, respectively. In the wet year, water stress under BM only had a certain effect on the leaf expansion of crops but had no effect on the induction of stomatal closure and premature senescence. The maximum canopy coverage and effective root zone water content were 13.56% and 31.35% lower, respectively. The above studies show that BM has a certain ability to store water and preserve moisture, but the parameters of PM are better than BM. Especially in dry years, the crop production efficiency of PM is more significant. It can be seen that in rain-fed agricultural areas with rainfall less than 500 mm, biodegradable film can not replace polyethylene film.

GROWTH AND YIELD CAPACITY OF QUINOA (CHENOPODIUM QUINOA WILLD.) DEPENDING ON THE SOWING RATE IN THE CONDITIONS OF THE NORTH-EASTERN FOREST-STEPPE OF UKRAINE

The paper presents aimed research results of the density level effect on quinoa plant development, yield and yield components to ensure maximum efficiency of crop rowing under regional conditions. Research was carried out for 2020-2022 in area of North-Eastern Forest-Steppe of Ukraine with the quinoa variety of Quartet. Several sowing rates 0.8; 1.2; 1.6 and 2.0 million seed per ha) were studied. According to the results a continuous sowing technology with a sowing rate of 1.6 million similar seeds per ha is recommended. It provides a pre-harvest density of 1.37 million plant/ha and yield of 2.12 t/ha. Development and formation of the main crop of seeds ensures the main inflorescence of the central stem. The average yield index and weight of 1000 seeds were 27.9% and 2.82 g, respectively. For obtaining larger seeds (1000 seed weight > 3.0 g), it is advisable to reduce the sowing rate to 1.2 million seed/ha. Yield shortage at this sowing rate in some years can be up to 0.08 t/ha.

Optimization of a nitrogen fertilizer application scheme for spring maize in full-film double-ridge furrow in Longzhong, China

Full-film double-ridge furrow sowing technology (FDRFST) and nitrogen (N) management are crucial for sustainable agricultural development. To investigate the N fertilizer application scheme for spring maize with high yield, precipitation water productivity (PWP), and N use efficiency (NUE) under the FDRFST, a two-year field experiment was carried out in a rainfed area of Longzhong (LZ). Treatments included two types of N fertilization (common urea [U] and controlled release urea [CU]), three application rates (180, 225, and 270 kg hm−2), and the conditions of no N fertilizer application and no plastic film mulching. The results showed that the temperature-increase effect of PM on the soil between 2021 and 2022 was concentrated for 0–90 days, with average values of the 5 cm soil temperature increasing by 4.15 and 3.58 ºC, respectively. However, the N fertilizer application rate had negligible effects on soil temperature. Plastic film mulching (PM) required temperature-increase compensation, particularly during the sowing–emergence stage, with a 1.68 compensation coefficient. Based on the simulation results of the modified DNDC model, the recommended application rate of CU (180 kg hm−2) for spring maize in LZ increased the average yield, PWP, and NUE by 15.8%, 16.0%, and 36.4% from 1981 to 2020, respectively, compared to U treatments. Our results provide a theoretical basis for N management in spring maize production in LZ and offer critical insights for improving the DNDC model under PM conditions.

不同镇压方式对荞麦生长特性影响的试验研究

In order to fully explore the influence of different pressure methods on the growth characteristics of buckwheat, a pressure test device with adjustable press force, and easy to replace the press wheel was designed. Using the dry matter quality of buckwheat roots, stems, leaves at seedling stage, plant height, number of main stem nodes, number of main stem branches, grain number per plant, grain weight per plant, and yield as evaluation indexes, single factor test on press force was carried out, and three-factor and three-level orthogonal test was carried out too with press wheel outer diameter, press force and press wheel type as factors. The results showed that the index values of buckwheat showed a trend of first increasing and then decreasing with the increase of press force. When the press force was 450 N, the growth and development of buckwheat performed best. The effects of press wheel outer diameter, press force, and press wheel type on growth characteristics of buckwheat was different. The effects of press force and press wheel type on the indexes were greater than that of press wheel outer diameter. The optimal pressure methods of buckwheat sowing are as follows: the press wheel outer diameter is 300 mm, the press force is 450 N, and the press wheel type is conical combined wheel. The results of this study could provide reference for the improvement of high-yield mechanized sowing technology of buckwheat and the design of rational pressure device.

Экспериментальный посевной комплекс «АК-48»

The team of authors developed a new sowing complex "AK-48" with a mechanical drive of seeds, which is characterized by increased sensitivity to hard soils and climatic conditions, original design, ease of operation and maintenance, high productivity and marginality without import saturation. Comparative indicators of the cultivation of spring soft wheat variety Buryatskaya ostistaya for seed purposes according to the average separate sowing technology using a 6-meter "Bystritsa" seeder and the "AK-48" plant in CJSC "Telminskoye" of the Irkutsk region corresponds to the unambiguous distribution of the new complex. Keywords: SOWING COMPLEX, TECHNICAL CHARACTERISTICS, ECONOMIC EVALUATION

Research on the effect of agricultural science and technology service supply from the perspective of farmers' differentiation

Comparing the priority order of different agricultural science and technology services adopted by cotton farmers and exploring the influencing factors of agricultural science and technology service adoption by cotton farmers from the perspective of farmer differentiation is significantly influential for high-quality agricultural development. We explore factors influencing the adoption of agricultural science and technology services by a cotton farmer from the perspective of farmer differentiation based on 335 research data in Xinjiang of China. The results show that cotton farmers adopted agricultural science and technology services in the following order: pest control technology, good seed technology, and precision sowing technology. Farm household fragmentation significantly affects the adoption of agricultural technology services by farm households. Gender and satisfaction with agricultural science and technology services were significantly influenced the adoption of agricultural science and technology services by the pure and part-time farmers; the variables of education level, planting area, and the number of household laborer was effected the adoption of agricultural science and technology services by the pure farmer. As such, organizations of agricultural science and technology service should develop personalized services according to the characteristics of cotton farmer endowments, improve the timeliness of agricultural science and technology services, and enhance service quality.

Effects of Mixed Planting on Machine Transplanting Adaptability and Grain Yield of Hybrid Rice

Because the current hybrid rice machine transplanting sowing quantity is too large and the high rate of missing hills or poor seedling quality during mechanical transplanting, the mechanized planting of hybrid rice is limited, which results in significant hindrance of large-scale planting of hybrid rice in China. In this study, a mixed sowing technology (replacement of a portion of hybrid rice seeds with conventional rice seeds) in seedling cultivation was adopted to determine the appropriate variety combinations and conventional rice sowing quantity using a variety combination experiment and sowing quantity experiments, respectively. The results of the variety combination experiment showed that combinations of Changyou 4 mixed with Nanjing 5055, and Yuanliangyou mixed with Yangdao 6 could reduce the sowing quantity of hybrid rice, improve the quality of machine transplanting, and not reduce the grain yield. The results of the conventional rice sowing quantity experiment showed that with the increase in conventional rice sowing quantity, the seedling quality, spikelet per panicle, and filled kernel percentage decreased, and the mechanical transplanting quality improved. Compared with pure sowing hybrid rice, the grain yield was not significantly different in the japonica rice treatment when the sowing quantity of Nanjing 5055 was more than 75 g/tray and Yangdao 6 was more than 60 g/tray. With the increase in conventional rice sowing quantity, the missing hill rate decreased significantly and the seedling density increased significantly, so that the panicle number was also improved, which might have compensated the reduction in seedling quality, spikelet per panicle, and filled kernel percentage. As a whole, 90 g Nanjing 5055 seeds mixed with 30 g Changyou 4 seeds per tray and 75 g Yangdao 6 seeds mixed with 30 g Yuanliangyou seeds per tray were suitable sowing quantities for mixed planting that could ensure strong seedlings and better mechanical transplanting quality, while reducing the cost (reduce the sowing quantity of hybrid rice and conventional rice) without reducing the grain yield.

К ВОПРОСУ СОВЕРШЕНСТВОВАНИЯ ПОСЕВА ЗЕРНОВЫХ КУЛЬТУР В УСЛОВИЯХ АРИДИЗАЦИИ КЛИМАТА

The working bodies of the seeders experience significant loads, leading to wear of the working surfaces (WP) and violation of the sowing technology, which necessitate reseeding on more than 10% of the area when sowing grain in dried soil. The sowing itself is delayed due to sticking of the working bodies during precipitation during the sowing period. Promising is the use of coulters, in which (RP) they have both wear resistance and the ability to reduce soil stickiness when sowing grain crops. It is proposed to use overlays made of ultrahigh molecular polyethylene (UHMWPE) on the RP of standard disc coulters (SDS), converting them into upgraded disc coulters (MDS). The research determined the parameters and method of fastening the lining from the SVPME to the RP disk. Field tests have confirmed that fixing the lining to the disk with rivets in the amount of 24 pieces ensures the reliability of the MDS, which fulfill the requirements of sowing in the studied modes. There was a decrease in the adhesion of soils during the operation of the MDS by 1.6...2.9 times relative to the SDS. On all types of soils, the traction resistance of MDS at a sowing depth of 0.06 m varies within 60...80 N, which is 1.23...1.55 times less than that of SDS. The wear rate of the MDS working surfaces made of UHMWPE RE-500 is more than 3 times less than that of 65G steel, which makes it possible to increase their resource by 1.5-2.4 times in comparison with SDS. Grain seeders equipped with MDS allow to extend the periods of trouble-free operation both in arid conditions and at high soil humidity, providing the specified agrotechnical requirements for sowing technology in various climatic conditions.

Site-specific plant number control in precision sunflower (Helianthus annuus l.) production

We consider sunflower as a plant that uses the soil moisture extremely. Hybrids utilize soil water resources with varying degrees of efficiency, which is also greatly influenced by the planted number of plants. In our study, we examined the applicability of the applied precision sowing technique as a function of the number of seedlings resulting different distance between seedlings, and attempted to determine the sunflower crop density range that best fits the heterogeneous productivity zones of the given crop area. The productivity zones were created using GIS methods. For both sample areas, three well-separable zones in terms of productivity (high, medium, low) were identified. Considering the feasibility aspects of the experiment, three seedling steps were used in each fertility zone in four replicates. Based on the results of the control of the number of plants and the distance between the plants, the accuracy and applicability of the sowing technology decreases inversely with the increase of the number of seedlings. In areas with high and medium productivity, moderately increased number of seedlings resulted higher yields, while in low productivity zones, moderately reduced density did not result lower yields than base planting. The thousand grain weight decreased significantly with increasing the number of seedlings, while the oil content increased significantly with increasing the number of seedlings in each productivity zones.

Effect of Tillage and Sowing Technologies Nexus on Winter Wheat Production in Terms of Yield, Energy, and Environment Impact

Crop production is considered one of the most important agricultural areas in the world, supplying humanity with raw food materials. However, intensive farming very often has a detrimental effect on the environment. The aim of this study was to investigate and assess the efficiency of strip tillage and a sowing machine as well as a direct sowing machine in differently prepared soils in terms of yield, energy, and environmental impact. The experiments were performed with winter wheat (Triticum aestivum L.) grown using three different tillage techniques and two sowing machines. The results show that the inputs of diesel fuel, energy, and time are directly affected by the number and complexity of technological operations throughout the production chain. The highest inputs of diesel fuel, working time, and energy consumption were needed using conventional tillage technology with strip tillage and a sowing machine (CT–STS), amounting to 130.2 l ha−1, 6.65 h ha−1, and 18,349 MJ ha−1, respectively. The best yields were obtained using no tillage–direct sowing technology (NT–DS), where were reached 7.54 t ha−1. The lowest environmental impact was achieved in the winter wheat production system using NT–DS, where the CO2 emissions were as high as 15%, lower than those under conventional tillage–direct sowing (CT–DS) and CT–STS. The costs of winter wheat production can be reduced by up to 23.6%. The main conclusion regarding the use of strip tillage and sowing and direct sowing machines in traditional tillage technology is that energy and environmental indicators have deteriorated compared to no tillage, but no significant difference in winter wheat yields has been identified.

The influence of the technology of cultivation of fallow lands on the yield and energy efficiency of growing grain crops in the conditions of the south-east of the Volga-Vyatka region

Relevance. After the introduction of state support for enterprises that put fallow lands into circulation, more and more such lands are beginning to be used for agricultural production. However, there are practically no scientifically based recommendations for the development of fallow lands for their more effective introduction into agricultural production.Methods. The research was carried out in a field experiment in the Nizhny Novgorod region on light gray forest soil. The technologies of basic processing of fallow lands and their impact on the yield and energy efficiency of grain cultivation were studied. The experiment was based on a three-factor scheme.Results. The article says that on light gray forest soils it is necessary to apply technologies for the production of grain crops using mechanical treatments (traditional technology and mini-till technology), which allow creating more favorable conditions for the growth and development of cultivated plants than direct sowing technology (no-till), which in turnleads to to increase the yield of the studied crops. It is established that the cultivation of Sinapis alba as green-manured fallow allows to increase the yield of the studied crops. It was revealed that with direct processing of fallow lands without the application of mineral fertilizers and without the cultivation of green manure crop, the most energetically recouped technology is the traditional technology of cultivation of grain crops (energy coefficient — 1.51). The introduction of organic fertilizers in the form of growing a green manure crop, without the introduction of mineral fertilizers, reduces the energy efficiency of all the technologies studied. When cultivating grain crops on a mineral background and with the cultivation of Sinapis alba as a green manure crop, the mini-till technology (energy coefficient — 1.45) is most energetically advantageous, it is more energy efficient thentraditional technology by 0.7%and then no-till technology— by 14.5%.

旱作条件下不同镇压和播深对燕麦生长特性影响的试验研究

In order to comprehensively evaluate the best pressure and sowing depth conditions suitable for oat growth under dry farming, a sowing pressure experimental device was designed. The calculation methods of pressure strength of different types of press wheels were analyzed. The experiment calibrated the corresponding counterweight under different suppression strengths. A three-factor and three-level orthogonal experiment was carried out with pressure strength, sowing depth and press wheel type as factors and oat emergence rate, dry matter accumulation at seedling stage and yield as main evaluation indexes. The results showed that the press wheel type had extremely significant effects on oat emergence rate, stem and leaf dry matter quality, total dry matter quality at seedling stage and yield, and had significant effects on root dry matter at seedling stage. The pressure strength had significant effects on the emergence rate and root dry matter quality of oat at seedling stage, and had extremely significant effects on stem and leaf dry matter quality, total dry matter quality at seedling stage and yield. Sowing depth had significant effects on seedling emergence rate, root dry matter quality, stem and leaf dry matter quality, total dry matter quality, and had extremely significant effects on yield. The optimum sowing conditions of oat are as follows: pressure strength is 50 kPa, sowing depth is 5 cm, and press wheel type is conical combined wheel. The results of this study could provide certain references for the design of oat high-yield mechanical sowing technology, oat seeder and press device.

Key technology of crop precision sowing based on vision principle

In the process of precision planting of crops, due to many external environmental interference factors, low precision of sowing technology and large relative errors, the growth of crops is seriously affected. To solve this problem, machine vision technology is introduced to study the key technology of crop precision sowing based on vision principle. After preprocessing the crop image, the corresponding histogram is established. The segmentation threshold method is used to gray the image and determine the best threshold, so that the image has a good recognition effect. According to the growth height and color analysis of crops in the image, predict the growth of crops and realize the precision sowing of crops. The comparative experimental results show that under the application of the new sowing technology, the estimation accuracy of crop planting area is high, the recognition accuracy of planting position is also high, and the fertilization uniformity is close to the actual data, which can provide an important basis for improving the quality of crop sowing.

Optimized Deep Neural Network and Its Application in Fine Sowing of Crops.

Winter wheat is one of the most important food products. Increasing food demand and limited land resources have forced the development of agricultural production to be more refined and efficient. The most important part of agricultural production is sowing. With the promotion of precision agriculture, precision seeding has become the main component of modern agricultural seeding technology system, and the adoption of precision seeding technology is an important means of large-scale production and cost saving and efficiency enhancement. However, the current sowing technology and sowing equipment cannot meet the requirements of wheat sowing accuracy. In this context, a differential perturbation particle swarm optimization (DPPSO) algorithm is proposed by embedding differential perturbation into particle swarm optimization, which shows fast convergence speed and good global performance. After that the DPPSO is used to optimize the convolutional neural network (CNN) to build an optimized CNN (DPPSO-CNN) model and applied to the field of crops fine sowing. Finally, the experimental results show that the proposed method not only has a faster convergence rate but also achieves better wheat seeding performance. The research of this paper an effectively improves the accuracy and uniformity of wheat seeding and lay a foundation for improving wheat yield per unit area and promotes the intelligent development of agriculture in the future.

A Study on the Impact of Low-Carbon Technology Application in Agriculture on the Returns of Large-Scale Farmers.

The relationship and mechanism between agricultural low-carbon technology application and farm household returns are not yet clear, especially the lack of evidence from developing countries. This paper takes large-scale farming households in Jiangxi Province, China, from 2019 to 2020 as the research object, and obtains relevant data from field research to explore the intrinsic impact of agricultural low-carbon technology application on the returns of large-scale farming households. Based on the relevant theoretical analysis, the division dimensions of agricultural low-carbon technologies were proposed, and agricultural low-carbon technologies were subdivided into ten specific low-carbon technologies according to six dimensions: tillage system, breeding, fertilization, irrigation, medicine application, and waste treatment. Relevant questions were designed and researched to obtain data on the application status of low-carbon technologies in agriculture and the income cost status of large-scale farmers. Based on the theoretical analysis, the research hypotheses were proposed, and an empirical analysis was conducted based on the obtained data from large-scale farmers. The application of seven low-carbon technologies in agriculture: conservation tillage system, direct sowing technology, selection of compound fertilizer/organic fertilizer/controlled-release fertilizer, soil formula fertilization technology, deep fertilization/irrigation fertilization, sprinkler/drip irrigation/wet irrigation/intermittent irrigation, and straw resourceization significantly improved the income level of large-scale farmers. Furthermore, the application of biodegradable agricultural membranes, biopesticides, and new pesticide-controlled release technologies did not have significant effects on the income level of large-scale farmers, due to their low application and penetration rate. Based on the findings of the paper, the government should strengthen the promotion and subsidies of agricultural low-carbon technologies, especially those technologies that have no significant impact on large-scale farmers’ income, such as biodegradable agricultural membranes, biopesticides, and new pesticide controlled-release technologies, so as to achieve a win-win situation of reducing carbon emissions and increasing farmers’ income.