Authors: Himadri Shekhar Mondal; Mustafa Kamal Shahadat; Zubaida Azad Shikha; Md. Mahbub Hossain
Addresses: Electronics and Communication Engineering Discipline, Khulna University, Khulna – 9208, Bangladesh ' Bangladesh Agricultural Research Institute (BARI), Khulna – 9202, Bangladesh ' Electronics and Communication Engineering Discipline, Khulna University, Khulna – 9208, Bangladesh ' Electronics and Communication Engineering Discipline, Khulna University, Khulna – 9208, Bangladesh
Abstract: Modern world is blessed by technical development. Developing agricultural sector has become a great demand nowadays, because people are increasing and the land is decreasing. Various methods are applying to improve the production in the agricultural sector. Among foods, rice is one of the major foods consumed by different types of people all over the world. So, in this research, fuzzy logic is used to analyse the Aman rice production. We considered the main factors related to Aman rice (BR23 Aman) productions are temperature, rainfall and area. We analysed the production estimation using collected data and an estimation is presented by using the fuzzy-based simulated result. We have calculated coefficient of variation (CV) for the three factors, and the result indicates that, the CV for temperature is 49.12% whereas CV value for rainfall and area is 29.68% and 22.79% respectively, which indicates BR23 Aman as temperature-sensitive.
Keywords: fuzzy logic; Aman rice; production; climatic variability.
International Journal of Sustainable Agricultural Management and Informatics, 2020 Vol.6 No.2, pp.123 - 134
Received: 17 Jun 2019
Accepted: 13 Dec 2019
Published online: 03 Jul 2020 *