Abstract:Aiming to address the problems of poor adaptability, single functionality, and polluting emissions in power machinery suitable for orchard and horticultural understory operations, an electric multifunctional operation platform for under-canopy operations that integrated mowing, spraying, and transportation was designed. Firstly, based on the agronomic requirements and constraints of low-canopy orchards and rugged terrain environments, the overall layout and performance indicators of the platform were planned, and parametric designs were conducted for the battery, motor, chassis, operational components, and control system. Then, with climbing angle, endurance time, and cost as core objectives, and considering multiple constraints such as slip rate, ground pressure, and longitudinal coordinate of the center of mass, a multi-objective optimization mathematical model was established. The NSGA-Ⅱ optimization algorithm was employed to solve the model, determining the optimal matching scheme for key parameters, including platform battery capacity and motor power. Finally, basic performance tests were conducted on the prototype, including minimum turning radius, mowing performance, and spraying performance. The test results showed that the designed multifunctional operation platform had an average deviation of 1. 453 m in a 100-meter straight-line driving test, an on- site turning radius of 656 mm, and passed climbing tests on 20% (approximately 11. 3°)and 30% (approximately 16. 7°)slopes, as well as slope parking brake and slope steering tests, meeting the navigability requirements for facility horticulture inter-row and headland operations. When the mower operated at 2 000 r / min, performance indicators such as stubble height and missed cutting rate met operational requirements, with an endurance time of 5. 8 h. The research results demonstrated that the designed electric platform not only met the operational demands of complex understory environments but also achieved zero emissions, low noise, multifunctional integration, and performance optimization. It can provide ideas and technical references for the green and intelligent development of understory operation machinery.