Published February 29, 2020 | Version v1
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ML Methods for Crop Yield Prediction and Estimation: An Exploration

  • 1. Department of CSE, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India.
  • 2. Associate Professor, Department CSE, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India.
  • 1. Publisher

Description

Machine learning Has performed a essential position within the estimation of crop yield for both farmers and consumers of the products. Machine learning techniques learn from data set related to the environment on which the estimations and estimation are to be made and the outcome of the learning process are used by farmers for corrective measures for yield optimization. This paper we explore various ML techniques utilized in crop yield estimation and provide the detailed analysis of accuracy of the techniques.

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Is cited by
Journal article: 2249-8958 (ISSN)

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ISSN
2249-8958
Retrieval Number
C5775029320/2020┬ęBEIESP