A study on crop yield forecasting using classification techniques

Author:

Sujatha R.,Isakki P.

Publisher

IEEE

Cited by 34 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Ensemble methods-based comparative study of Landsat 8 operational land imager (OLI) and sentinel 2 multi-spectral images (MSI) for smart farming crop classification;Multimedia Tools and Applications;2024-07-08

2. Crop Yield Forecasting for A Resilient Food System: The Role of AI and Green Principles;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

3. Analyzing predictors of pearl millet supply chain using an artificial neural network;Journal of Modelling in Management;2024-02-05

4. Corn Yield Prediction using Spatial-Temporal Data and Deep Learning;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15

5. Optimization of Crop Yield Using Machine Learning;2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS);2023-11-01

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