IPM: CALEW Cotton: an integrated expert system for cotton production and management

Abstract

CALEWCotton is a user-friendly computer program that simulates human problem-solving behavior. Growers can use this system to help manage crop production or predict the effects of any one decision on subsequent events. In 7990, more than 700 cotton producers have taken advantage of the CAL EWCotton computer program. Production of any crop requires many decisions before and during the growing season. Keepingtrackof all the information required for management or predicting what the influence of any one decision might have on subsequent decisions is difficult. Also, incorporating new knowledge and technology into existing farming practices is a slow process, requiring careful consideration to avoid any adverse side effects. Integrated expert systems are computer programs that hold promise for managing and coordinating the information required for optimal crop production. Expert systems simulate the problem-solving behavior of a human who is an expert in a narrow area. The knowledge base of agriculture is anything but narrow, and rarely is there only one solution available for a particular problem. An integrated expert decision-support system can help a grower make decisions that involve several alternatives, and can address several, often competing factors. These computer programs combine database management, regression models, simulation models, and rule bases (a rule base is like an "advisor:" it contains knowledge in a format conducive to problem solving). Components and development Monitoring for pests is a fundamental element in integrated pest management. Here, Area IPM Advisor Bill Barnett checks almond leaves for twospotted spider mites.

Improving farmers’ net revenue in traditional context: Analytic Hierarchy Process, Expert System, and Linear Programming

“…This work later inspired the design of several subsequent ES on soybean, such as SOYBUG [19] and SOYPEST [21]. Other crops that drew the attention of expert systems designers include cotton [21][22][23], rice [24][25][26] and wheat [27,28]. Apart from disease diagnosis, ES have also been designed for irrigation systems (watering) [29][30][31] and tools or machinery selection [32][33][34].…”