Intelligent systems and its application in agriculture

Abstract To overcome the complexity and uncertainly of agriculture, intelligent systems, which utilize some new knowledge representation strategies and integrate with advanced approaches such as case-based reasoning, neural networks, genetic algorithms, and so on, are proposed. Some knowledge representation strategies, which are very suitable for agriculture knowledge, are also introduced. Many intelligent systems for agriculture which had been developed by our development platforms have been succeeding in adequate fertilization, plant protection, and cultivation of wheat, corn, rice, cotton, rape, tea, tobacco, sugur cane, orange, cabbage, etc in Chinese countryside during the past dozen years.