Machine Learning-Based Crop Recommendation System for Enhanced Yield Production
Keywords:
Keywords: Sustainable Practices, Agriculture, Crop Recommendation, Machine Learning.Abstract
Agriculture plays a critical role in ensuring that there is enough food to feed our ever-growing globalpopulation. With the challenges posed by climate change and its uncertainties, it has becomeincreasingly important to adopt sustainable practices in agriculture.
References
Kilaru, Ruthvik, and Kommisetti Murthy Raju. "Prediction of maize leaf disease detection to improve crop yield using machine learning based models." 2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST). IEEE, 2022.
Kheir, Ahmed MS, et al. "Machine learning-based cloud computing improved wheat yield simulation in arid regions." Computers and Electronics in Agriculture 203 (2022): 107457
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Published
2025-04-19
How to Cite
K. Shekhar, Gugulothu Sravanthi, Porandla Sadhashiva, Hemanth Moutam, Boragala Divyasri. (2025). Machine Learning-Based Crop Recommendation System for Enhanced Yield Production. Journal of Computational Analysis and Applications (JoCAAA), 34(4), 428–439. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2315
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