Study on Optimal Allocation of Field Collection Points for Pineapple Harvesting by UAV Considering Dynamic Energy Consumption
This study investigates the application of UAVs(Unmanned Aerial Vehicles)in the harvesting and transportation of pineapples in agricultural fields,specifically focusing on the method of UAVs hovering to deposit pineapples into collection bins.The operational range of UAVs,significantly impacted by the weight they carry,limits the efficiency of pineapple harvesting tasks.This study proposes the establishment of pineapple collection points within the fields and determines the optimal number and placement of these points to facilitate efficient harvesting operations.This study utilizes the K-means algorithm to determine the most favorable locations and grouping for the collection points.It also develops models for calculating the energy consumption and cost associated with UAV-based pineapple harvesting.By coding these models to solve the models and address the constraints related to UAV endurance,the study ascertains the maximum operational area and the quantity of pineapples that can be harvested by a UAV.Through comparative analysis of various design involving different numbers and placements of collection points,the study determines the most effective strategy,that without battery replacement,a single agricultural UAV is capable of harvesting approximately 480 pineapples over an area of about 44 m2.With the increase of number of collection points,the UAV's total travel distance and energy consumption decrease steadily,whereas the total cost gradually rises.The analysis reveals that the establishment of 15 fixed collection points within a pineapple field of 667 m2 achieves an optimal balance of total energy consumption,travel distance,and cost.The collection point configuration optimization scheme proposed in this study offers constructive recommendations for the number and location of collection points in using UAVs for crop harvesting and transportation tasks in agricultural fields.
pineappleagricultural dronesdynamic energy consumptioncollection point configurationenduranc
万方数据
维普
