PREDICTION OF CROP YIELD USING MACHINE LEARNING

Agriculture has the primary role of enhancing the economic contribution of the country. Still, because ecosystemcontrol technologies have not been employed, most agricultural lands remain barren. In this we are going toforecast the yield if a particular crop is chosen otherwise, we will forecast the yield of the crops depending on theparameters District name, season and year.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-05
DOI
https://doi.org/10.5281/zenodo.15155328
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

PREDICTION OF CROP YIELD USING MACHINE LEARNING

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

PREDICTION OF CROP YIELD USING MACHINE LEARNING

article en

Abstract

Agriculture has the primary role of enhancing the economic contribution of the country. Still, because ecosystemcontrol technologies have not been employed, most agricultural lands remain barren. In this we are going toforecast the yield if a particular crop is chosen otherwise, we will forecast the yield of the crops depending on theparameters District name, season and year.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 36%
Smart Agriculture and AI
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PREDICTION OF CROP YIELD USING MACHINE LEARNING · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS