Peanut Harvest Research Articles

Impact of climate-smart agriculture on the income and food security of cassava-producing households in the Savalou commune in Benin

Climate disruption today represents a threat to the environment and sustainable development. Climate-Smart Agriculture (CSA) is an appropriate adaptation approach to climate change. It allows producers to improve their production and act on their food security, despite the conditions of climate change while limiting the causes arising from agriculture. The objective of this study is to evaluate the impact of CSA, through the use of harvest residues in cassava fields, on the income and food security of cassava producing households in Savalou. The three-stage sampling method made it possible to draw a random sample of 360 cassava producers including 180 users of pigeon pea, mucuna and peanut harvest residues. The average income from cassava production during the last 12 months (until July 2023) is 366,400 FCFA with 387,340 FCFA for beneficiaries compared to 322,060 FCFA for non-beneficiaries. The impact analysis was done with the matching method based on propensity scores. The results of this impact study showed that this adoption contributes to improving income from cassava production by 35,135 FCFA and household food security by 0.10 points, on average per household per year. It would therefore be useful to promote and improve this type of agriculture, in order to ensure sustainable development of the agricultural sector and improve food security.

Innovative Design and Optimization of High-Quality Peanut Digging-Inverter

To rapidly dry peanut pods and effectively address mold issues resulting from rainy weather, this article provides an analysis of the current research status of global peanut digging, inverting, and harvesting technologies. Based on a two-stage peanut harvesting model, the operating principles of a high-quality peanut digging-inverter are elaborated upon, and the design of key machine components is discussed. The evaluation metrics for the operation of a high-quality peanut digging-inverter include the rate of vine inverting, the soil content rate, the rate of fallen pods, and the rate of buried pods. Utilizing theoretical analysis, the Box–Behnken experimental design is employed to investigate the operating parameters of these machines, with the tractor’s running speed, the linear speed of the inverting roller, and the linear speed of the conveyor chain serving as the experimental factors in a three-factor, three-level experimental study. A regression model is established to analyze the impact of each factor on operational quality and to comprehensively optimize the influencing factors. The experimental results indicate that all factors significantly affect the rate of vine inverting. The tractor’s running speed (X1) and the linear speed of the inverting roller (X3) significantly influence the rate of buried pods, while the linear speed of the conveyor chain (X2) does not have a significant effect on this rate. Similarly, the tractor’s running speed (X1) and the linear speed of the inverting roller (X3) significantly affect the rate of fallen pods, whereas the linear speed of the conveyor chain (X2) does not. Furthermore, the linear speed of the conveyor chain (X2) and the linear speed of the inverting roller (X3) significantly impact the soil content rate, while the tractor’s running speed (X1) does not. The optimal combination of operating parameters is a tractor running speed of 1 m/s, a conveyor chain linear speed of 1.3 m/s, and an inverting roller linear speed of 2.1 m/s. Under these conditions, the high-quality peanut digging-inverter achieves a vine inverting rate of 89.29%, a buried pod rate of 0.31%, a fallen pod rate of 0.74%, and a soil content rate of 8.11%. The experimental values for each evaluation index exhibit relative errors of 1.14%, 6.45%, 1.35%, and 0.13% compared to the optimized values provided by the Design-Expert software. The findings of this research will facilitate the development of hardware conditions for the future intelligent and information-based harvesting of peanuts, thereby establishing a solid foundation for the high-quality initial processing of oilseeds.

Automated Windrow Profiling System in Mechanized Peanut Harvesting

Automated Windrow Profiling System in Mechanized Peanut Harvesting

Analysis of the influence of dust particles in the peanut pickup harvester with a self-designed axial-flow dust-fall box on its dust suppression performance

The atmospheric particulate pollution poses a serious threat to human health and ecological environment. The dust particle pollution caused by the operation of agricultural machinery is becoming increasingly severe and the peanut pickup harvesters are widely used in agricultural operation. Therefore, it is necessary to reduce the concentration of dust particles in the work of peanut pickup harvesters. In this study, a self-designed dust-fall box composed of multipleaxial flow cyclone tubes in parallel was integrated with the peanut pickup harvester. Based on the CFD-DPM model, simulation analysis was conducted to explore the effects of different inlet velocities, different numbers of swirling blades, and two types of exhaust port on the dust removal performance of the cyclone. The Box-Behnken design was used to determine the optimal structural parameters of the axial flow cyclone. The influence of the pressure distribution and velocity variations of the internal flow field on the dust removal efficiency of the two schemes was simulated and analyzed. Thereafter, a reasonable parallel scheme of multiple axial flow cyclone tubes in the dust-fall box was determined. The drone was used to monitor dust in peanut harvesting operations, and dust particle concentrations at 8 detection points under varying working conditions were recorded. The distribution and diffusion rules of dust in harvesting operations were explored through cluster analysis, and the test data obtained were compared with numerical calculation results to verify the accuracy of numerical calculation. The results showed that for a single axial flow cyclone, when the inlet wind speed was 6 m/s to 8 m/s and the number of swirling blades was 4, the structural parameters of the cyclone separator had significant influence on the separation efficiency. The influencing factors ranking in descending order were cylinder diameter, cylinder length, and exhaust pipe insertion depth, respectively. To be more precisely, the separation efficiency was best when the cylinder diameter was 60 mm, the cylinder length was 150 mm, the insertion depth of the exhaust pipe was 50 mm and the cone angle was 20°. It was more reasonable to use 8 axial flow cyclone tubes in parallel, and the maximum separation efficiency can reach 84.21 %. Field operations showed that the numerical calculation results were similar to the actual harvesting process. The dust particle concentration in the peanut harvesting operation equipped with a dust-fall box was always lower than 10 mg/m3. The dust particle concentration was the highest at the rear of the whole machine and the lowest near the cab. Compared conventional harvesters, the harvester with a dust-fall box reduced its dust particle concentration by 64.37 %; the concentration of 30 μm dust particles was reduced by 69.31 %; the dust particle concentration at the rear of the whole machine also effectively reduced. This study can provide reference for controlling dust emissions during peanut harvesting operations and agricultural machinery harvesting operations.

Nitrogen credits after peanut (Arachis hypogaea L.)

AbstractState‐level cooperative extension services provide fertilizer recommendations for row crops in the United States. Of these, nitrogen (N) recommendations are arguably the most important because N is the most common yield‐limiting nutrient in nonlegume crop production systems. Throughout the peanut (Arachis hypogaea L.) growing region of the United States, Cooperative Extension Services generally recommends 22–67 kg N/ha credit to crops following peanut, likely due to the assumption that peanut, being a legume, contributes N to the following crop. The body of peer‐reviewed literature indicates that N credits from peanut to the subsequent crop are negligible. Recent literature indicates that apparent differences in yield following peanut compared to a nonlegume are a result of nonlegume crop residue favoring N immobilization rather than N mineralization from peanut residue. Taken together, recent research corroborates the few previous scientific publications addressing the issue, namely, that cooperative extension service recommendations to reduce N fertilization to crops after peanut are not supported by the peer‐reviewed literature. Future field research should include summer fallows to determine if yield differences between legumes and nonlegumes are due to N credits by the legume or N immobilization by nonlegumes. Data on N loss pathways following peanut are needed to identify management strategies that can mitigate N losses after peanut harvest. In conclusion, the preponderance of peer‐reviewed science does not support current Extension recommendations regarding peanut N credits to the following crop.

花生清选筛台架的设计与试验

In order to address the high impurity and loss rates in the cleaning process of existing peanut combine harvesters, the design basis of the cleaning sieve was explored. Tests were conducted to determine the composition of the peanut picking fruit and the characteristics of the material suspension mixture. Additionally, the mechanical relationship between the fruit and miscellaneous mixtures and the cleaning sieve was investigated. The wind speed ranged from 8 m/s to 10 m/s, the vibration frequency ranged from 6 Hz to 8 Hz, and the inclination angle of the sieve ranged from 5° to 9°. The scavenger sieve platform was constructed and tested using Box-Behnken’s central combination test method. The optimal combination of fan wind speed (9 m/s), sieve surface inclination angle (8°), and sieve vibration frequency (7 Hz) resulted in a pod impurity rate of 1.16% and a loss rate of 1.4%. The device significantly reduces impurity content and loss rate during peanut harvesting. The study's results can serve as a reference for improving the design of the peanut combine harvester cleaning mechanism and optimizing operating parameters.

Spring-Finger Motion Law Analysis and Cam Slide Optimal Design of Spring-Finger Cylinder Peanut Pickup Mechanism

Two-stage harvesting is the main method used for the mechanized harvesting of peanuts in China, in which the pickup device is a core part of the combine harvester. In order to solve the problem of pod loss caused by “stack” and “loss picking” from peanut plants when using a traditional spring-finger cylinder pickup device, an optimal spring-finger cylinder peanut pickup mechanism was designed and its picking properties were tested. Based on the picking characteristics and picking force analysis when considering a peanut plant windrow, the ideal picking attitude and swing rule of the spring-finger were determined, and the cam slide, as the core element of the spring-finger cylinder peanut pickup device, was optimized. A mathematical model of the cam cylinder center line was established according to the swing law of the four picking stations utilizing the spring-finger. MATLAB and ADAMS were used to establish a simulation of the pickup mechanism, and kinematics and dynamics simulation analyses of the pickup mechanism were carried out. According to the design results, a prototype was constructed and a running pickup test was carried out. The peanut plant picking experiments indicated that the phenomenon of peanut plant stacking had significantly disappeared. Furthermore, through response surface analysis, the optimal working parameters of the picking device were obtained as follows: the forward speed Vm was 48.0 m/min, the rotational speed N was 50 r/min, and the ground height H was −16.8 mm. The picking rate of peanut plants was 99.21% and the pod loss rate was 1.79% under two harvesting conditions, with a peanut plant moisture content of 15% to 17%. This study provides technical support for the future design of picking devices for two-stage peanut pickup harvesters.

Biochar boosted high oleic peanut production with enhanced root development and biological N fixation by diazotrophs in a sand-loamy Primisol

Peanut yield and quality face significant threats due to climate change and soil degradation. The potential of biochar technology to address this challenge remains unanswered, though biochar is acknowledged for its capacity to enhance the soil microbial community and plant nitrogen (N) supply. A field study was conducted in 2021 on oil peanuts grown in a sand-loamy Primisol that received organic amendments at 20 Mg ha−1. The treatments consisted of biochar amendments derived from poultry manure (PB), rice husk (RB), and maize residue (MB), as well as manure compost (OM) amendment, compared to no organic amendment (CK). In 2022, during the second year after amendment, samples of bulk topsoil, rooted soil, and plants were collected at the peanut harvest. The analysis included the assessment of soil quality, peanut growth traits, microbial community, nifH gene abundance, and biological N fixation (BNF) rate. Compared to the CK, the OM treatment led to an 8 % increase in peanut kernel yield, but had no effect on kernel quality in terms of oil production. Conversely, both PB and MB treatments increased kernel yield by 10 %, whereas RB treatment showed no change in yield. Moreover, all biochar amendments significantly improved oilseed quality by 10–25 %, notably increasing the proportion of oleic acid by up to 70 %. Similarly, while OM amendment slightly decreased root development, all biochar treatments significantly enhanced root development by over 80 %. Furthermore, nodule number, fresh weight per plant, and the nifH gene abundance in rooted soil remained unchanged under OM and PB treatments but was significantly enhanced under RB and MB treatments compared to CK. Notably, all biochar amendments, excluding OM, increased the BNF rate and N-acetyl-glucosaminidase activity. These changes were attributed to alterations in soil aggregation, moisture retention, and phosphorus availability, which were influenced by the diverse physical and chemical properties of biochars. Overall, maize residue biochar contributed synergistically to enhancing soil fertility, peanut yield, and quality while also promoting increased root development, a shift in the diazotrophic community and BNF.

Aerial spread of smut spores during peanut harvest

Aerial spread of smut spores during peanut harvest

Investigating the Essential Factors for Thresher Losses and Waste in Peanut Harvester Considering Several Varieties of Crop

Abstract This research investigated the performance of a model traction combine harvester (TCH) for harvesting several varieties of peanuts. The effect of independent factors including tested varieties at three levels (local Moghan, Goli Astana, and Turkish), tractor forward speed (FS) at three levels (4, 5, and 6 km·h−1), and rotational speed (RS) of the thresher at three levels (500, 600, 700 rpm) on losses and wastes were studied and investigated. To analyse the obtained data, a factorial experimental design was used in the form of randomised complete blocks, and Duncan‘s multi-range test was used to compare the mean values. According to the findings, the effects of tractor FS and rotary speed of the thresher on the percentage of threshing losses were significant at the probability level of 1%. Also, the interaction effects of variety type and tractor FS, tractor FS, and rotary speed of the thresher on the percentage of threshing losses were significant at the 1% probability level. Also, the effects of variety type, tractor FS, rotary speed of the thresher, and all mutual effects on the percentage of threshing waste were significant at the 1% probability level. The results of comparing the average effects of the main factors showed that the FS of 6 km·h−1 had the highest average threshing loss (82.89%). Threshing losses were obtained in the Turkish variety with the lowest average value (2.51%) and in the local variety with the highest average value (3.53%).

Analysis of Power Requirements for Peanut Digger (Digger - Shaker – Inverter Type)

An analysis of the power requirements of the peanut harvesting machine was carried out to determine the type and size of tractor power that will be used. A tractor with a self-propelled motor will distribute traction power to the peanut harvesting implement on the peanut digger unit (digger), the peanut plant shaker/shake unit and the pod reversing unit with peanut plants (inverter). Field performance results obtained by a digging machine with a 90 HP four-wheeled tractor with a working width of 120 cm, depth of 11.6 cm, working capacity of 3,27 hours/ha (0,31 ha/hours), field working efficiency of 72.05%, fuel oil usage of 6.95 liters/ ha, and power for harvesting peanuts of 9.2916 hp. The operational costs of a peanut harvesting machine is IDR 134,331 per ha. By using a (general) rental rate of IDR 175,000 per ha, a rental profit 0f IDR 33,951 per hais obtained with the BEP of the peanut harvesting machine having to work for 865.66 hours per year or 1,731 ha per year with a B/C ratio of 1,07966 at 10% interest and 1.06187 with 16% interest and IRR of 40,12%.

Effect of planting pattern and herbicide programs on sicklepod (Senna obtusifolia L.) control in peanut

Abstract Sicklepod is one of the most difficult to control weeds in peanut production in the southeastern United States due to its extended emergence pattern and limited effective herbicides for control. Growers rely on preemergence herbicides as the foundation of their weed control programs; however, postemergence herbicides are often needed for season-long weed control. The objectives of this study were to evaluate the effect of planting pattern and herbicide combinations for sicklepod control in peanut crops. Due to rapid canopy closure, twin-row planting improved late-season sicklepod control by 13% and peanut yield by 5% compared with a single-row pattern. A preemergence application of fluridone, flumioxazin, or fluridone + flumioxazin provided 76% to 89% control of sicklepod 28 d after preemergence. Regardless of the herbicide applied preemergence, paraquat + bentazon + S-metolachlor applied early postemergence was required to achieve ≥90% sicklepod control 28 d after early postemergence. All preemergence herbicide treatments followed by (fb) S-metolachlor or diclosulam + S-metolachlor applied early postemergence provided <90% control 28 d after early postemergence. A mid-postemergence application of imazapic + dimethenamid-P + 2,4-DB controlled sicklepod by 67% to 79% prior to peanut harvest, and biomass reduction was unacceptable (<80%), resulting in difficulty in peanut digging. The highest peanut yield was observed when paraquat + bentazon + S-metolachlor was applied early postemergence fb imazapic + dimethenamid-P + 2,4-DB applied mid-postemergence. Based on the results of this study, a herbicide combination of paraquat + bentazon + S-metolachlor is an important early-season tool for controlling sicklepod in peanut crops. The results also showed that a twin-row planting pattern improved late-season sicklepod control but did not reduce herbicide input to protect peanut yield.

Revised Thresholds for Runner Peanut Harvest Maturity Pertaining to Recent Cultivars in South Carolina

Revised Thresholds for Runner Peanut Harvest Maturity Pertaining to Recent Cultivars in South Carolina

花生大喂入量摘果装置优化设计与试验

For a peanut picking device with a feeding rate greater than 5 kg/s, the problem of low picking rate and high damage rate will occur during the picking process. A discrete element model is developed to determine the range of values of the main influencing factors affecting the peanut picking device. A three-factor, three-level orthogonal combination test was carried out with feeding volume, drum speed, and peanut picking gap as test factors to investigate the effects of the main influencing factors on the quality of peanut picking operation of the peanut picking device. The results of the field trials showed that the best results were achieved at the optimum combination of drum speed of 508 r·min-1, peanut picking gap of 22 mm, and feeding volumes of 6.3 kg/s. At this time, the peanut picking rate was 99.17%, and the peanut breakage rate was 0.91, meeting the standard technical requirements for mechanized peanut harvesting. The study results provide a theoretical basis for further enhancing the development of peanut combine harvesting equipment.

Alternate intercropping of cotton and peanut increases productivity by increasing canopy photosynthesis and nutrient uptake under the influence of rhizobacteria

ContextAlternate intercropping of cotton and peanut is an emerging cropping practice that involves the intercropping of two crops in a wide strip, with annual switching of planting positions. The productivity achieved through alternate intercropping, which combines intercropping and rotation, surpasses that of either mode used alone. However, the underlying mechanisms responsible for the observed increase in crop productivity remain elusive. We put forth the hypothesis that alternate intercropping enhances productivity by promoting canopy photosynthesis and nutrient uptake, facilitated by the influence of rhizosphere bacteria. MethodsA two-year field experiment was conducted employing a randomized block design to investigate the effects of monoculture, traditional intercropping, and alternate intercropping on yield, yield components, canopy photosynthesis, 13C photoassimilate partitioning, uptake of major nutrients, and diversity of rhizosphere bacterial communities. ResultsAlternate intercropping increased biological by 9.3% and seed cotton yield by 20.0% compared to monocultures without sacrificing peanut yields. In comparison to traditional intercropping, alternate intercropping also increased seed cotton yield by 3.9%, peanut pod yield by 6.7%, and total productivity by 10.6%. The cotton harvest index in alternate intercropping was similar to that in traditional intercropping but 9.9% higher than in monoculture. However, the peanut harvest index did not differ between alternate intercropping, traditional intercropping, and monoculture. Net ecosystem CO2 exchange (NEE) under alternate intercropping was higher in cotton than that under traditional intercropping and monoculture, and 13C partitioning to reproductive organs in cotton was higher in alternate intercropping than in monoculture, although there was no difference between alternate and traditional intercropping. In peanut, NEE was higher under alternate intercropping than under traditional intercropping at all stages. At peak pod setting, 13C partitioning to reproductive organs was higher under both alternate intercropping and monoculture than under traditional intercropping. Alternate intercropping resulted in a 7.2% increase in cotton nitrogen uptake compared to traditional intercropping, and a 8.8% increase in nitrogen uptake, 10.9% increase in phosphorus uptake, and 8.5% increase in potassium uptake compared to monoculture cotton. Peanut uptake of nitrogen, phosphorus, and potassium was greater in alternate intercropping than in traditional intercropping and was approximately the same as that in monoculture. Alternate intercropping increased the relative abundances of plant growth promoting rhizobacteria (PGPR). Significant correlations were detected between NEE and biological yield, 13C partitioning and harvest index, as well as the relative abundance of PGPR and uptake of major nutrients. ConclusionThe enhanced crop productivity observed in alternate intercropping can be attributed to improved shoot-root coordination, as evidenced by the increased canopy photosynthesis and nutrient uptake associated with altered rhizosphere bacterial communities.

Geographical distribution of Aspergillus flavus in peanut harvest period in China

In order to grasp the distribution of Aspergillus flavus in the soil of peanut production areas in China, A. flavus biomarkers were tested on 555 soil samples from 37 sampling points in 17 provinces, peanut fields in four agroecological zones (Southern area, Yangtze River Basin, Northern area, Northeast area). The results showed that (1) the cultivation amount of A. flavus per gram of soil in the Yangtze River Basin is 1.30 times that of the southern area, 1.56 times that of the northern area, and 6.20 times that of the northeast area, with obvious regional characteristics. (2) In the Yangtze River basin, the change of longitude in the east-west direction has no direct impact on the cultivation amount of A. flavus per gram of soil. (3) In the east coast, the A. flavus cultivated per gram of soil increased first and then decreased with the increase of latitude from south to north. (4) A. flavus can be isolated in the soil samples above 1000 ​m. Field pollution is an important source of aflatoxin contamination in peanut. The study on the distribution of A. flavus in soil in China could provide theoretical support for the early warning and prevention and control measures of aflatoxin contamination in peanut.

花生荚果收获分离输送装置运动分析与试验研究

A peanut harvest separation and conveying device was designed considering the shortage of peanut harvest machinery and poor harvesting effect in China. The interaction between mechanism and pod-soil mixture was analysed to obtain the motion state of peanut relative separation conveyor. ADAMS simulation was applied to obtain the spatial curve of peanut trajectory in the separation process. The study determined that the optimum operating parameters of the separation conveyor were a drum speed of 280 r/min and an inclination angle of 19°. This study provides a theoretical basis for the further design of efficient peanut harvesting device.

Experimental Research for Digging and Inverting of Upright Peanuts by Digger-Inverter

In order to quickly dry the peanut pods and effectively reduce the mildew on peanut pods in rainy weather, this paper analyzed the research status of peanut digging and inverting technology in China and abroad, combined with the peanut two-stage harvesting mode. The orthogonal experiment was carried out by using the peanut digger-inverter to study the different forms of upright type, taking the rate of vines inverting, the rate of buried pods, and the rate of fallen pods as the evaluation indexes, and taking the traveling speed of the tractor A, the line speed of the conveyor chain B, and the line speed of the inverting roller C as the experimental factors. The results showed that, in the states of unpressed vines and pressed vines, the order of influence of the peanut digger-inverter on the evaluation indices was A > C > B. The optimal horizontal combination of unpressed vines was A2C3B2, when the traveling speed of the tractor is 1.06 m/s, the line speed of the inverting roller is 2.12 m/s, and the line speed of the conveyor chain is 1.02 m/s; the rate of vines inverting was 71.07%, the rate of buried pods was 0.2%, and the rate of fallen pods was 0.22%. Under the condition of vines pressing, the best horizontal combination is A2C2B2, when the travelling speed of the tractor is 1.01 m/s, the line speed of the inverting roller is 1.88 m/s, and the line speed of the conveyor chain is 1.02 m/s; the rate of vines inverting was 74.29%, the rate of buried pods was 0.14%, and the rate of fallen pods was 0.33%. The paired t-test was carried out by the peanut digger-inverter under the state of pressed and unpressed vines. There was little difference in the influence of each factor on the rate of fallen pods and the rate of buried pods, but there was a significant difference in the influence on the rate of vines inverting. The rate of inversion of vines under the state of pressed vines was higher than that under the state of unpressed vines. The research results will provide certain technical support for the late optimization of the peanut digger-inverter and create a hardware foundation for the intelligence and information harvesting of peanuts.

Does the Soil Tillage Affect the Quality of the Peanut Picker?

Machine harvesting is an essential step of crop production, considering a dynamic operation, and is subject to losses due to several factors that affect its quality. The objective of this study was to evaluate the quality of mechanized peanut pickers in the three soil tillage operations using Statistical Quality Control (SQC) tools. We conducted the experiments in a peanut field located at 21°20′23″ S and 47°54′06″ W of Brazilian peanut farmers. We used Statistic Control Quality (SQC) experimental design to monitor peanut losses during machine harvesting. The treatments evaluated were three soil tillage operations: conventional (CT), rotary tillers (RT), and hoe (RH). The quality indicators were collected inside the picker’s bulk tank. Statistical analyses used were descriptive statistics and SQC tools (run charts, control charts, and the Ishikawa diagram). The process was considered stable for indicators: whole pods (CT, RT, and RH), broken pods (CT, RT, and RH), and hatched pods (CT, RT, and RH), while the other indicators showed points that were out of control. With the application of SQC tools, it was possible to identify the factors that caused the increase of variability in peanut harvesting, listing the points to be improved to support decision-making, always aiming to increase this operation’s quality.

基于深度农机农艺融合的三垄六行花生联合收获机的设计与试验

In order to improve the efficiency of peanut harvesting in China, realize the deep integration of agricultural machinery and agronomy in peanut production and promote the development of peanut industry. According to the research on peanut planting agronomy and plant biological characteristics, this paper focuses on the analysis of the clamping and collecting scheme of the three-ridge six-row peanut combine harvester, and designs the structure of the clamping and collecting device to solve the situation that the peanut clamping and collecting process is prone to congestion under large feeding volume. By analysing the forces on the peanut plant, the structure of the core fruit picking device has been designed, and the factors and parameters affecting the effectiveness of the peanut picking operation have been optimised through experimental research using the peanut leakage and crushing rates as indicators. The whole machine structure of the three-ridge six-row peanut combine harvester was designed to ensure that the peanut combine harvester can complete the processes of harvesting, digging, clamping and conveying, soil removal, collecting, fruit picking, cleaning and fruit collection at one time. Finally, through field tests on the three-ridge six-row peanut combine harvester, it was verified that the peanut leakage rate was 1.92% and the crushing rate was 0.84% at different forward speeds, and all of them were congested, which met the national peanut harvesting standards.