Predictive Analysis in Agriculture to Improve the Crop Productivity using ZeroR Algorithm
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Abstract
Agriculture is believed to be as backbone of Indian economic system. For the past few decades, agriculture field has seen lots of technological changes to improve better productivity. The world population grows steadily but the resources for crop production continuously diminish. As per World Trade Organization results in the coming decade, sustainable crop production is caused by environmental degradation. Therefore there have been considerable efforts to develop innovative approaches for sustainable crop production. Using prediction methods, farmers can enhance the productivity of crops. These methods are used to find the required quantity of crops, seeds, humidity, water level and other supplements. So, this may prevent providing too high amount of supplements for cultivation, saves money on pesticides and fertilizers, but also increases yield of crop. Major idea of this concept is higher quantity of yield can be obtained by cultivating required crop at right place and right cost at right moment.
Keywords:Precision Agriculture, Weka, ZeroR Algorithm, Matplotlib, Predictive Analysis
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