Author:
Shruthi G.,Bhushan Anik Kumar
Publisher
Springer Nature Singapore
Reference12 articles.
1. Kumar V, Malhotra JS, Sharma S, Bhardwaj P (2022) Soil properties prediction for agriculture using machine learning techniques. J Eng Res Sci 1(3):9–18
2. Jeyanathan JS, Veerasamy B, Medha B, Sai GT, Kumar RB, Sahu V (2023) Design of Crop Recommender System using Machine Learning and IoT. In: 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), pp 1127–1132. IEEE
3. Premasudha BG, Thara DK, Tara KN (2022) ML based methods XGBoost and random forest for crop and fertilizer prediction. In: 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN), pp 492–497. IEEE
4. Balakrishnan D, Kumar AP, Reddy KS, Kumar RR, Aadith K, Madhan S (2023) Agricultural crop recommendation system. In: 2023 3rd International Conference on Intelligent Technologies (CONIT), pp 1–5. IEEE
5. Dangal SRS, Sanderman J, Wills S, Ramirez-Lopez L (2019) Accurate and precise prediction of soil properties from a large mid-infrared spectral library. Soil Syst 3(1):1–23. https://doi.org/10.3390/soilsystems3010011