Kaushik Bhagawati

Work place: ICAR Research Complex for NEH Region, Arunachal Pradesh Centre, Basar-791101, India

E-mail: kaushik.iasri@gmail.com


Research Interests: Artificial Intelligence, Neural Networks, Computer Networks, Network Architecture


Mr. Kaushik Bhagawati is Research Associate working under National Innovation on Climate Resilient Agriculture project at ICAR Research Complex for NEH Region, Arunachal Pradesh Centre, Basar, India. He is specialized in Computer Application in Agriculture and Agricultural Statistics. His major research interest is on forecasting model based on Artificial Neural Network and SVM. He is the author of around 15 research papers, 5 books and many research articles.

Author Articles
Intelligence and its Application in Agriculture: Techniques to Deal with Variations and Uncertainties

By Kaushik Bhagawati Rupankar Bhagawati Doni Jini

DOI: https://doi.org/10.5815/ijisa.2016.09.07, Pub. Date: 8 Sep. 2016

Biological systems, including agriculture and allied sectors are very complex and nonlinear in nature. The pace of current climate change, which is unique about it, makes the biological system more and more complicated and unpredictable. The novelty or ambiguity that the variable environment presents, demands for the development of self-adaptive intelligent systems in agriculture and allied sectors. Agriculture is emerging as knowledge-based enterprise that demands efficient need-based information retrieval systems and smart actions. Intelligence is that resource that guides actions and provide options under variable, uncertain and unseen conditions. The objective of the current paper is to analyze the attributes that are considered to be characteristics of intelligence having wide potential for the development of intelligent system and technologies for agricultural applications. The intelligent techniques like forecasting, database management, knowledge discovery, deception, simulation, contingency planning etc. revolutionize the whole agricultural sector opening new and competent options and dimensions. Sustainable agricultural development demands multidisciplinary holistic approach and intelligence should be the guiding principle that demands study of human cognitive psychology.

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