Abstract
Conventional redesign methodologies applied on the grain harvester headers for the mechanical harvesting of chickpeas cause its progress to not be as rapid and technological. This paper presents a hybrid modeling-optimization methodology to design harvester reels for efficient chickpea harvesting. The five fabricated headers were tested in both real and virtual modeling environments to optimize the operational parameters of the reel for minimum losses. Harvesting losses data gathered from chickpea fields over ten years of trials were fed into a fuzzy logic model, which in turn was merged with simulated annealing to develop a simulator. To this end, simulated annealing was used to produce combinations of reel diameter and number of bats, to be fed into the fuzzy model until achieving a minimum harvesting loss. The proposed model predicts the reel structure measured in-field evaluation, which fits well with the previously established mathematical model. A significant improvement in harvesting performance, 71% pod harvesting, validates the benefits of the proposed fuzzy-simulated annealing approach to optimize the design of grain harvester headers.
Highlights
Agricultural robots, autonomous field modules, and digitalized equipment have taken over conventional harvesting methodology
The main aim of this study is to develop a computer-based model for the optimization of chickpea harvester reels
The model-based system testing fed with harvesting losses data acquired in the evaluation of five prototypes of chickpea harvesters in field tests merged fuzzy logic with simulated annealing (SA) to optimize reel structure
Summary
Agricultural robots, autonomous field modules, and digitalized equipment have taken over conventional harvesting methodology. There are other crops, such as some legumes in which progress is not as rapid and technological This fact leads to low investment in the development of machinery for its handling, and there are unresolved problems. Pods near the ground, low height of the plant, and uneven ripening are difficulties for efficient harvesting of rain-fed chickpeas [4]. These crudities in conjunction with the inappropriate design of conventional grain headers for mechanical harvesting of chickpeas cause high shattering losses and manually harvesting of the crop by the laborers in some developing countries
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