IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Linear Optimization Approach for Increasing Sustainability in Vegetable Crop Production

A Linear Optimization Approach for Increasing Sustainability in Vegetable Crop Production
View Sample PDF
Author(s): Lana dos Santos (Universidade Federal de Viçosa, Brazil), Marcos Arenales (Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, Brazil), Alysson Costa (Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, Brazil)and Ricardo Santos (Universidade Federal de Viçosa, Brazil)
Copyright: 2011
Pages: 32
Source title: Green Technologies: Concepts, Methodologies, Tools and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-60960-472-1.ch204

Purchase

View A Linear Optimization Approach for Increasing Sustainability in Vegetable Crop Production on the publisher's website for pricing and purchasing information.

Abstract

This chapter is concerned with a set of optimization problems associated to crop rotation scheduling in the context of vegetable crop production according to some ecological criteria: no crop of the same botanic family is planted in sequence, green manure and fallow periods must be present in any schedule. A core mathematical model called the crop rotation scheduling model is proposed to represent these ecological criteria together with specific technical constraints associated to the growing of vegetable crops. Three optimization problems based on crop rotation schedules are written in detail in this chapter. For each problem, the authors present a general modeling framework and a solution methodology based on a technique known as column generation, which iteratively builds crop rotation plans for a number of plots. Some extensions are also presented, with the aim of incorporating additional characteristics found in production field conditions. This chapter ends with a brief discussion on a set of computational experiments and some suggestions for future research.

Related Content

Himanshi Srivastava, Pinki Saini, Anchal Singh, Sangeeta Yadav. © 2024. 38 pages.
Rakesh Dutta, Jayashri Dutta. © 2024. 16 pages.
Sudha Subburaj, A. Lakshmi Kanthan Bharathi. © 2024. 30 pages.
Hari Shankar Biswas, Sandeep Poddar. © 2024. 15 pages.
Mihaela Rosca, Petronela Cozma, Maria Gavrilescu. © 2024. 35 pages.
Indranee Changmai. © 2024. 28 pages.
Periasamy Palanisamy, M. Kumaresan, M. Maheswaran. © 2024. 19 pages.
Body Bottom