International Journal of Computer Techniques Volume 12 Issue 3 | A Transfer Learning-Based Ensemble Approach for Crop Recommendation based on Environmental conditions
A Transfer Learning-Based Ensemble Approach for Crop Recommendation based on Environmental Conditions
Bharti S Rinayat, Dr. Bhagyashree Dharaskar | International Journal of Computer Techniques | Volume 12 Issue 3
Abstract
Accurate crop selection plays a crucial role in maximizing agricultural productivity and food security. This research introduces a transfer learning-based ensemble approach that integrates environmental and soil parameters such as nitrogen, phosphorus, potassium, temperature, humidity, pH, and rainfall…
Keywords
Crop recommendation, Transfer learning, Ensemble model, Precision agriculture, Machine learning, Environmental conditions
Conclusion
The study presents an innovative crop recommendation system based on machine learning, ensuring improved prediction accuracy, generalization, and real-time adaptability for precision agriculture…
References
- Mavi, H., et al. “Crop Recommendation System Based on Soil Quality and Environmental Factors Using Machine Learning,” 2024.
- Ghosh, A., et al. “A Comprehensive Crop Recommendation System Integrating Machine Learning and Deep Learning Models,” 2024.
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