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January 27, 2026Journal of the Indian Society of Remote Sensing

District-Level Groundnut Yield Prediction in Gujarat State Using Machine Learning and Remote Sensing Data

Drashti Nayakpara Divya Prajapati Kamal Pandey N. R. Patel

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Key Points

Groundnut yield prediction accuracy reached 85% using machine learning techniques, indicating strong model performance.
Data analysis leveraged remote sensing data to enhance prediction quality across various districts in Gujarat.
The approach employed a combination of machine learning algorithms to optimize yield forecasting.
This study highlights the potential of integrating technology in agriculture for improved crop management.

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Implication

Observational analysis predicts groundnut yield in Gujarat, suggesting effective agricultural planning methods.

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Cite This Study

Nayakpara et al. (2026) studied this question.

synapsesocial.com/papers/69a75b7ec6e9836116a22e40 https://doi.org/10.1007/s12524-025-02410-w

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