The discrete elemental parameters of pod pepper seeds were calibrated for future numerical optimization of the pod pepper seed cleaning device. The study concentrates on calibrating the intrinsic and contact parameters of pod pepper seeds utilizing the discrete element method. Compression tests were performed to ascertain intrinsic parameters such as Poisson’s ratio and the seeds’ elastic modulus. The static friction coefficient and collision restitution coefficient between the seeds and steel plates were identified through incline and free-fall tests. Plackett–Burman, steepest ascent, and Box–Behnken experiments were performed to establish a second-order regression model correlating significant parameters with the angle of repose. The optimal parameter combination, based on the measured angle of repose (32.45°), yielded static friction coefficients between seeds, rolling friction coefficients between seeds, and static friction coefficients between seeds and steel plates of 0.608, 0.018, and 0.787, respectively. The two-sample t-test of the physical and simulated repose angles yielded p > 0.05, and the relative error of the physical and simulated repose angles was 0.68%, which confirmed the reliability of the calibration parameters. The findings indicate that the calibration method for pod pepper seeds effectively informs the calibration of parameters for other irregular crops.

Due to the complexity of impurity removal from the residual film, there is currently no better impurity removal equipment. To improve the screening performance of the residual film mixture, the vibrating screen was designed. In this paper, the key factors A, B, C, and D were identified through mechanical analysis of the mixture (where they represented the screen aperture diameter, vibration amplitude, vibration frequency, and screen mesh inclination angle, respectively). The soil screen rate (Y₁) and screening loss rate (Y₂) were evaluated. And the optimal ranges for these factors were determined by single-factor experiments. Based on the EDEM, the discrete element model was established to simulate the interaction between residual film and soil. And the motion characteristics of the residual film mixture were analyzed within the screen body through a combination of simulation and bench tests. The vibrating screen’s structural parameters were optimized using Box-Behnken experiments. The most suitable combination of settings was as shown below: A = 6.5 mm, B = 25 mm, C = 3.8 Hz, and D = 4°. Following the optimization of these parameters, the screening performance was optimized. Results of bench tests showed that the soil screening rate was 80.33% and the screening loss rate was 19.31%. This study was expected to offer theoretical and simulation-based methods for optimizing the parameters of residual film-soil vibrating screening devices.

The contact between a traditional crop divider and sugarcane is unstable, and the sugarcane easily slides off of its surface. By analyzing the movement process of sugarcane, the influence of traditional spiral flightings on lifting performance was studied, and shortcomings were also found. Based on previous research and analysis, the variable spiral spike-toothed crop divider was designed by research groups. For sugarcane with different lodging states, the contact separation rule between the sugarcane and the spike tooth was studied, and the action time and angle of the spike tooth on sugarcane were obtained. At the same time, the interaction mechanism between sugarcane and the spike tooth was analyzed, and the conditions for lodged canes to be lifted were obtained. The influence of the spike tooth on the lifting performance was explored, and the working advantages were found for the spike-toothed crop divider. Then, a simulation test was conducted to obtain the contact force between the sugarcane and the crop divider. Finally, the crop divider was optimized and integrated into the harvester, and a field harvesting test was carried out to verify the working performance of the crop divider. This study was expected to provide a reference for the design of crop dividers and a theoretical basis for the analysis of the lifting process.

Accurate accounting of residual film recovery operation areas is essential for supporting targeted implementation of white pollution control policies in cotton fields and serves as a critical foundation for data-driven prevention and control of soil contamination. To address the reliance on manual screening during preprocessing in traditional residual film recovery area calculation methods, this study proposes a DBSCAN-MFI field-road trajectory segmentation method. This approach combines DBSCAN density clustering with multi-feature inference. Building on DBSCAN clustering, the method incorporates a convex hull completion strategy and multi-feature inference rules utilizing speed-direction feature filtering to automatically identify and segment field and road areas, enabling precise operation area calculation. Experimental results demonstrate that compared to DBSCAN, OPTICS, the Grid-Based Method, and the DBSCAN-FR algorithm, the proposed algorithm improves the F1-Score by 7.01%, 7.13%, 7.28%, and 4.27%, respectively. Regarding the impact on operation area calculation, segmentation accuracy increased by 23.61%, 25.14%, 20.71%, and 6.87%, respectively. This study provides an effective solution for accurate field-road segmentation during mechanical residual film recovery operations to facilitate subsequent calculation of the recovered area.

There is a poor mechanization level among the existing chili seed extractors. The separation operation still relies on manual labor, with low efficiency and high costs. In this study, a fresh chili seed extractor for small-scale operations was designed, and the relevant parameters were optimized. The rotational speed of the drum, feeding speed, sieve diameter, threshing gap, number of peg teeth, and inclination angle of the frame were used as test factors, and the comprehensive score (loss rate, crushing rate, and impurity rate) of the effect of the chili seed extractor was set as an evaluation index. The initial parameters were selected via the Plackett–Burman test. The steepest climb test was carried out to determine the ranges of significance for the parameters. Moreover, a Box–Behnken test were conducted to obtain the optimal parameter combination: the drum rotation speed was 661 r/min, the sieve diameter was 8.5 mm, and the disengagement gap was 9.4 mm. The test results showed that the loss rate was 3.83%, the crushing rate was 2.01%, and the impurity rate was 11.31%, which met the actual production requirements for chili seeds. This study is expected to provide a necessary reference for the design of chili seed extractors.

To improve autonomous path execution of a wheeled mower in standardized orchards, an ROS-based navigation control system integrating dual-antenna RTK-GNSS positioning and heading, an industrial computer, CAN-based drive control, and wireless manual takeover was developed. Parameterized reference paths consisting of straight sections and U-shaped turns were generated for inter-row operation, and an adaptive Pure Pursuit controller was implemented within the ROS framework. Three repeated field trials were conducted on a U-shaped path at a nominal speed of 0.8 m/s, with conventional Pure Pursuit using a fixed 2.0 m look-ahead distance as a reference. The mower completed the planned path under both controller settings. For the adaptive controller, the mean absolute lateral errors in the curved, straight, and overall sections were 0.124, 0.035, and 0.047 m, respectively. The corresponding overall error for PP-2m was 0.115 m. These results support the feasibility of the developed system for RTK-GNSS-guided closed-loop path tracking under the tested standardized-orchard conditions.