What question did this study set out to answer?

To develop a data-driven framework for predicting crop yields and promoting adaptive farming practices using generative AI.

Generative AI-driven framework for climate-resilient agriculture: Predicting crop yields and adaptive farming strategies

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial predicts crop yields in various Indian states, suggesting sustainable farming strategies.

To develop a data-driven framework for predicting crop yields and promoting adaptive farming practices using generative AI.
Developed a generative AI-based framework incorporating crop yield, temperature, rainfall, and soil nutrient data.
Utilized XGBoost model and augmented datasets generated by Variational Autoencoders and Generative Adversarial Networks.
Implemented a bilingual T5 language model for user-friendly agricultural advice based on input conditions.
Achieved model accuracy of 90%, precision of 88%, recall of 89%, and F1 score of 88.5%.
Synthetic data enhanced predictive performance significantly compared to previous models.
Demonstrated potential for future integrations with real-time satellite and weather data.

F et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial predicts crop yields in various Indian states, suggesting sustainable farming strategies.

To develop a data-driven framework for predicting crop yields and promoting adaptive farming practices using generative AI.
Developed a generative AI-based framework incorporating crop yield, temperature, rainfall, and soil nutrient data.
Utilized XGBoost model and augmented datasets generated by Variational Autoencoders and Generative Adversarial Networks.
Implemented a bilingual T5 language model for user-friendly agricultural advice based on input conditions.
Achieved model accuracy of 90%, precision of 88%, recall of 89%, and F1 score of 88.5%.
Synthetic data enhanced predictive performance significantly compared to previous models.
Demonstrated potential for future integrations with real-time satellite and weather data.

F et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark