JOURNAL ARTICLE

Prediction of Crop Yield Using Machine Learning Algorithm

P LavenyaLakshmi PriyaP. V. HemavathiM. Preetha

Year: 2022 Journal:   International Journal of Advanced Research in Science Communication and Technology Pages: 134-141   Publisher: Shivkrupa Publication's

Abstract

Crop yield production value updation has a positive practical significance for guiding agricultural production and for notifying the change in market rate of crop to the farmer. The concept of this paper is to implement the crop selection method so that this method helps in solving many agriculture and farmers problems. This improves our Indian economy by maximizing the yield rate of crop production. Different types of land condition. So, the quality of the crops is identified using ranking process. By this process the rate of the low quality and high-quality crop is also notified. The usage of ensemble of classifiers paves a path way to make a better decision on predictions due to the usage of multiple classifiers. Further, a ranking process is applied for decision making in order to select the classifiers results. This system is used to predict the cost of crop which is yielded for further.

Keywords:
Ranking (information retrieval) Production (economics) Computer science Crop yield Yield (engineering) Machine learning Quality (philosophy) Agriculture Agricultural engineering Process (computing) Crop Artificial intelligence Selection (genetic algorithm) Crop production Algorithm Engineering Agronomy Economics

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Citation History

Topics

Smart Agriculture and AI
Life Sciences →  Agricultural and Biological Sciences →  Plant Science

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