Development of Decision Support System on Pulse Crops (Cowpea and Chickpea) in Dharwad District (Karnataka)
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Date
2016-06
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University of Agricultural Science, Dharwad
Abstract
The Decision Support System (DSS) has been developed in MySQL (My Structured Query Language) and windows 8 operating system is used. MySQL is relational database management system which provides data definition language to create relations and data manipulation language to execute SQL queries. Secondary data is used for the present research. Software includes seven windows, user has required to feed the mandatory details to get required information of selected crops based on package of practices, area and production. DSS includes question and answer forum through which farmers will be able to query regarding any problems about crops and experts can give their suggestions to the queries. Extensively agricultural extension workers, scientists, researchers can use this software. This DSS is farmers friendly. Farmers, having little aware of computer can use. They can contact with the agricultural organisation, using this type of database system which can help farmers by giving valuable suggestion. Come back facility is there in each window. This DSS can be updated further. Statistical investigation was carried out to know shift in area of pulse crops, instability of selected pulse crops and relationship between area, weather parameters and production of selected crops in Dharwad. Markov chain analysis, Coppockās instability analysis, correlation and multiple regression analysis were used as tools. Markov chain analysis revealed that the retention was highest in chickpea crop and lowest retention was noticed in cowpea and arhar crops, instability analysis revealed that overall instability was higher in case of chickpea than cowpea throughout the periods. Multiple regression results revealed that in case of chickpea crop, maximum temperature relative humidity and rainfall were contributing significantly to the production of chickpea out of five parameters viz. area, maximum temperature, minimum temperature, relative humidity and rainfall, maximum temperature has significant negative impact to the production of cowpea crop.