ANN for Profit Predication in Maize Crop Cultivation through Cloud Database
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 2
Abstract
one of the major dispute encountering in the agriculture sector is to maximize the profit margin by increasing the cropping system yield productivity. Further productivity can be increased by predicating the factors affecting the cropping system. But the factors like temperature, irrigation, rainfall, etc might not be predicted exactly and a necessity arises for an intelligent system to forecast. In this research, Artificial Neural Network has been used to predict and forecast the optimal crop. For experimentation, data have been collected for ninety six months from thirty farmers. The collected data have been stored in cloud storage and is the input to neural network. Trained and tested neural model has been used to pinpoint the fittest yielding period for maize crop cultivation. Furthermore, it is capable of forecasting the optimal combination of variables to yield highest productivity of maize crop. Obtained output from the developed module is in-line with the data collected from agriculturist and thus the refined module had been validated. INDEX TERMS— Forecasting, Maize cropping system, Artificial Neural Network, Back propagation.
Authors and Affiliations
S K Rajesh Kanna, Lingaraj . N, Muthuvel . C, Mohan . D
Keywords
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