Title: Harvest Treasure: Prediction of Best Crop Yield
Abstract: Agriculture is one of the most critical and essential occupations practiced in our country. It is an economic sector that plays an essential role in the overall development of the country. Thus, the modernization of agriculture is significant and thus will lead the farmers of our country toward profit. Earlier, the sowing of crops was performed by considering the farmer's knowledge in a particular field and about a specific crop. However, as the weather conditions change very rapidly, farmers cultivate more and more crops that do not give an expected yield, thereby reducing their profits. Being this as the current situation, many of them do not have enough knowledge about the new crops and are not entirely aware of the benefits they get while farming them. Also, farm productivity can be increased by understanding and forecasting crop performance in a variety of environmental conditions. The proposed system applies machine learning and prediction algorithms to identify the pattern among data and then process it as per input conditions. This in turn will propose the best feasible crops according to given environmental conditions. Thus, this system will only require the land area of the user, and it will suggest a number of profitable crops providing a choice directly to the farmer about which crop to cultivate. As past year production is also taken into account, the prediction will be more precise.
Publication Year: 2020
Publication Date: 2020-10-23
Language: en
Type: book-chapter
Indexed In: ['crossref']
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