Intelligence and its application in agriculture: Techniques to deal with variations and uncertainties

Abstract

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.