Significance of Machine Learning in Crop Yield Prediction

Rajat Gupta, Tushar Shrikant Padmawar, Daksh Kumar, Deepak Ray, Payal Kadam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Since agriculture is the foundation of all economies, accurately predicting crop yield is essential to determining farmers' financial security and managing risks. In the following research, we explore how supervised machine learning algorithms are revolutionizing forecasting of crops' yield and the ensuing implications for agriculture. Crop yield predictions enable farmers and policymakers to make data-driven, well-informed decisions that promote a more resilient and sustainable agricultural landscape. This study examines the supervised machine learning approach used in crop yield prediction, highlighting how well they capture the intricate patterns and trends present in agricultural markets. Equipped with dependable projections, farmers may maximize planting choices, effectively allocate resources, and minimize hazards, thereby augmenting their earnings. The ability to anticipate future crop prices facilitates proactive measures to address potential challenges such as food inflation and market volatility. Machine learning models offer a strong basis for forecasting by combining historical data, weather trends, and market indicators. This paper's primary contributions include research on machine learning-based crop yield prediction, as well as a critical assessment of the benefits and drawbacks of various machine learning methods.

Original languageEnglish (US)
Title of host publication2024 2nd World Conference on Communication and Computing, WCONF 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350395327
StatePublished - 2024
Externally publishedYes
Event2nd World Conference on Communication and Computing, WCONF 2024 - Raipur, India
Duration: Jun 12 2024Jun 14 2024

Publication series

Name2024 2nd World Conference on Communication and Computing, WCONF 2024

Conference

Conference2nd World Conference on Communication and Computing, WCONF 2024
Country/TerritoryIndia
CityRaipur
Period6/12/246/14/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Crops yield prediction
  • Forecasting
  • Linear Regression
  • Supervised Machine Learning

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