Author : Bhagyashree Lambture 1
Date of Publication :15th October 2020
Abstract: In 2050, the global population is estimated to be about 9.7 billion, as a result of which there will be great food demand. In order to meet these needs, it is necessary to increase the existing system of agriculture. It's fine, according to the traditional way of agriculture, but still it won't meet the world's entire requirements. Here applications of data mining techniques in estimation of yields and climate change are called to help the farmer make decisions for farming and gain the required economic return. A significant issue that can be beaten dependent on past experience is the issue of yield estimation. In this manner, a brief study of harvest yield forecast is proposed utilizing CNN system. Using Google API to access crop production patterns in response to climatic conditions such as rainfall, temperature, relative humidity, evaporation and sunshine etc. Crop prediction is a pre-condition, and prediction of disease is a post-condition for the collection of data from a field or area from a weather parameter sample. It lets farmers improve quality in decision making. And using this proposed system farmer can able to suitable crop with high yields.
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