Fuzzy-Based Approach for Reducing the Impacts of Climate Changes on Agricultural Crops

Author:

Gadallah Ahmed M.1,Mohammed Assem H.1

Affiliation:

1. Cairo University, Egypt

Abstract

Climate changes play a significant role in the crops plantation process. Such changes affect the suitability of planting of many crops in their traditional plantation dates in a given place. In contrary, many of such crops become more suitable for planting at other new dates in their traditional places or in other new places regarding the climate changes. This chapter presents a fuzzy-based approach for optimizing crops planting dates with the ongoing changes in climate at a given place. The proposed approach incorporates four phases. The first phase is concerned with climate data preparation. And the second phase is concerned with Defining suitability membership functions. While in third phase is responsible for automatic fuzzy clustering. Finally, the fourth phase is responsible for fuzzy selection and optimization for the more suitable plantation dates for each crop. This chapter consists of an introduction, related works, the proposed approach, a first case study, a second case study, results discussion, future research directions and finally the chapter conclusion.

Publisher

IGI Global

Reference23 articles.

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2. Beaubouef & Petry. (2010). Fuzzy and Rough Set Approaches for Uncertainty in Spatial Data. Springer.

3. Exploring institutional changes in agriculture to inform adaptation planning to climate change in transition countries

4. Branco, A., Evsukoff, A., Ebecken, N. (2005). Generating fuzzy queries from weighted fuzzy classifier rules. ICDM Workshop on Computational Intelligence in Data Mining.

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