Fuzzy Logic based Individual Crop Advisory System based on Weather Input Data
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 4
Abstract
Abstract: Weather has the most significant influence on agriculture. Various weather phenomenon such as cloudiness, precipitation, temperature, and wind have significant influence on agri-management decisions,management practices and cost of cultivation. Therefore, there is need for development of crop specific advisory to an individiual farmers based on various crop parameters such as type of crop, age of crop, location of cropetc. However, existing advisories are region specific and gives vague advisory and also not available for specific location. This paper is focused on giving overview of development of fuzzy logic based to generate automatic advisory based on type of crop, location of crop and age of the crop. The expert knowledge base available with the agricultural scientists will be utilized for developing automatic crop advisory system using machine learning approach such as Fuzzy Logic. This system is developed with the help of PHP and GUI of weather advisory is made in MATLAB. Testing of realistic weather data and randomly generated weather data is done and Success Rate of both data was calculated.
Authors and Affiliations
Swati P. Pawar1 , Sarika A Hajare1 and Prajakta A. Satarkar1
Keywords
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