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Predictor Analysis and Proliferation of Fertility and Production for Agriculturalists

2022 IEEE India Council International Subsections Conference (INDISCON)(2022)

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摘要
The world of technical innovation and experiments have brought a new technological movement all over the world. Despite of it a major portion of the agribusiness community is far away from technical aspects that can make farming easy and efficient. About 60% of total agriculturalists in India are poor and can’t afford heavy robotics to take advantage of the technology. Farmers are sometimes oblivious of the disease in the crop and the market prices of the products. This is why they are paid less than what the actual cost is. As a solution, a multilingual platform has been proposed which can be accessed by all people and from where the farmers can easily get to know the current price of their crops in the market. The system is fed with reliable data from the government and is built on the anaconda platform under the TensorFlow environment. The system helps in the prognosis of crop diseases and also furnishes the reason and cure for the disease. It is also helpful to get recommendations about the correct fertilizer as per the quality of soil and other considerations. The system will be very much helpful for poor farmers who can’t afford pricey tools to enhance their crop production. Also, it will keep them aware of the current prices of the crop they are reaping and suggest which crop is suitable for which weather condition, which ultimately will be a boon for them.
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关键词
Agriculture,TensorFlow,Python,Anaconda,Disease Prediction,Fertilizer Prediction,Crop Recommendation
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