Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/341558
Type: Artigo
Title: A new approach for crop rotation problem in farming 4.0
Author: Miranda, Bruno S.
Yamakami, Akebo
Rampazzo, Priscila C. B.
Abstract: Technology and innovations have long improved farming over the world and, as Industry 4.0 quickly spread, farmers have embraced high-level automation and data exchange, driving a transformation called Farming 4.0. Consequently, precise and even real-time field information have become easily accessible. Though, analyzing all this information requires great skills and tools, like mathematical knowledge and powerful computational algorithms to reach farmers expectations. This research explores the Crop Rotation Problem (CRP) and its relevance for the integration of Precision Agriculture (PA) and farm management. This paper presents a new mathematical approach for the CRP based on the nutrient balance and crop requirements, increasing the sustainable appealing of the problem. A real-encoded genetic algorithm (GA) was developed for optimization of the CRP. The results indicate good performance in mid and long-term crop scheduling
Subject: Agricultura
Algoritmos
Country: Estados Unidos
Editor: Springer
Rights: Fechado
Identifier DOI: 10.1007/978-3-030-17771-3_9
Address: https://link.springer.com/chapter/10.1007/978-3-030-17771-3_9
Date Issue: 2019
Appears in Collections:FEEC - Artigos e Outros Documentos

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