Field Study Based on Soft Computing Techniques

Usage of soft computing techniques in field study saves human labor. Field study plays a vital role in the economic importance of agriculture which in turn results in poverty reduction. Farmers guess the solutions to the disease based on the loss of plant life that occurred previously. Technology is used to support farmers and botanist which give precise solution for the vague input information. The human labor used in the existing system is replaced with technology in the proposed system which reduces the time complexity, increases the performance and overcomes the lack of satisfaction. Decision Support System is the computer-based expert information system to predict the output response of field with respect to the input parameters. Fuzzy Control application is programmed in Fuzzy Control Logic (FCL). In fuzzification the value of the input variables are converted into degrees of membership for the membership functions defined on that variable. Fuzzy set is any set that allows its members to have different grades of membership in the interval [0, 1]. Smartness of the fuzzy depends on the rule evaluation. The performance of the fuzzy machine is restricted by the capability of human brain. DSS based fuzzy system provides interactive, flexible and quick decision making. Use of latest technology provides profitable performance to the farmers. The limitations in existing system are overcome by using relational database which is used as database in field study through which large queries can be handled easily. Fuzzy logic is a powerful concept of handling non-linear, time-varying, adaptive systems. The knowledge-driven DSS is created for crop management in proposed system.