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Optimization Model for Selective Harvest Planning Performed by Humans and Robots

التفاصيل البيبلوغرافية
العنوان: Optimization Model for Selective Harvest Planning Performed by Humans and Robots
المؤلفون: Ben Harel, Yael Edan, Yael Perlman
المصدر: Applied Sciences, Vol 12, Iss 5, p 2507 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: nonlinear programming, agriculture, harvest planning, production, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: This paper addresses the formulation of an individual fruit harvest decision as a nonlinear programming problem to maximize profit, while considering selective harvesting based on fruit maturity. A model for the operational level decision was developed and includes four features: time window constraints, resource limitations, yield perishability, and uncertainty. The model implementation was demonstrated through numerical studies that compared decisions for different types of worker and analyzed different robotic harvester capabilities for a case study of sweet pepper harvesting. The results show the influence of the maturity classification capabilities of the robot on its output, as well as the improvement in cycle times needed to reach the economic feasibility of a robotic harvester.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 12052507
2076-3417
Relation: https://www.mdpi.com/2076-3417/12/5/2507; https://doaj.org/toc/2076-3417
DOI: 10.3390/app12052507
URL الوصول: https://doaj.org/article/b265ff3a3ee94a75a4fbdd7cf8afdc00
رقم الانضمام: edsdoj.b265ff3a3ee94a75a4fbdd7cf8afdc00
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:12052507
20763417
DOI:10.3390/app12052507