A Survey Of Recent Deep Learning Algorithms Used In Smart Farming
Author:
Affiliation:
1. Malaviya National Institute of Technology,Department of Computer Science and Engineering,Jaipur,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9864330/9864331/09864477.pdf?arnumber=9864477
Reference27 articles.
1. Crop Yield Prediction Using Deep Reinforcement Learning Model for Sustainable Agrarian Applications
2. Reduced Prediction Saturation and View Effects for Estimating the Leaf Area Index of Winter Wheat
3. Determining the Leaf Area Index and Percentage of Area Covered by Coffee Crops Using UAV RGB Images
4. Machine Learning Regression Techniques for the Silage Maize Yield Prediction Using Time-Series Images of Landsat 8 OLI
5. Early Maize Yield Forecasting From Remotely Sensed Temperature/Vegetation Index Measurements
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1. Statistical Perspectives in Machine Learning for Crop Recommendations;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21
2. Theme Mapping and Bibliometric Analysis of Two Decades of Smart Farming;Information;2023-07-11
3. AI-Enabled Crop Recommendation System Based on Soil and Weather Patterns;Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices;2023-06-30
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