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Agricultural Crop Yield Prediction using Machine Learning: A Review

Jeffrey Andrews, Ahmed Farag El-Bebany


The fast pace of urban development minimize the agricultural lands. Farmers are facing challenges to sustain cultivation of crops due to lack of rainfall and they are rarely addressed because of growing economic competition, rising population and governmental agencies long term plans. To improve agricultural production and growth, agriculturist should investigate every opportunity to meet global demands. Farmers should assess suitability between lands and crops either to expand agricultural lands or to improve production. Many researchers are attracted by the investigation of land and crop suitability to utilize latest technologies like remote sensing, geographical information systems etc. This paper aims to survey on recent researches of crop and land suitability using data mining techniques.


Crop and Land Suitability, Data Mining, Classification, Agricultural Data Mining, Machine Learning.

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