Abstract: Crop identification and classification are the keystone of satisfactory agricultural development. Crop yield prediction has been a topic of interest for producers, consultants, and agricultural related organizations. Many Techniques are used for crop yield prediction, including supportive decisions on what crops to grow and what to do during the growing period of the crops. In this paper, we performed a Literature survey on Yield prediction with different machine learning algorithms for satellite images with Climatic Parameters, also we survey on Wheat yield prediction using different machine learning algorithm and advanced sensing Techniques, also we survey on how to perform Measurement and Calibration of Plant-Height.

Keywords: Crop identification, Crop Classification, Yield prediction, Machine Learning.

PDF | DOI: 10.17148/IJARCCE.2022.114103

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