A Systematic Review on Crop-Yield Prediction through Unmanned Aerial Vehicles
Author:
Affiliation:
1. National University of Computer and Emerging Sciences,Department of Computer Science,Islamabad,Pakistan
2. Riphah International University,College of Computing,Faisalabad,Pakistan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9689772/9689782/09689838.pdf?arnumber=9689838
Reference42 articles.
1. Use of data mining in crop yield prediction
2. Sorghum Yield Prediction using Machine Learning
3. An Approximation for A Relative Crop Yield Estimate from Field Images Using Deep Learning
4. Estimating wheat yield by integrating the WheatGrow and PROSAIL models
5. Sunflower seed yield estimation under the interaction of soil salinity and nitrogen application
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2. Agriculture Yield Forecasting via Regression and Deep Learning with Machine Learning Techniques;Lecture Notes in Networks and Systems;2024
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4. Site-Specific Seed Yield Prediction of Red Fescue (Festuca rubra L.) Based on Drone Imaging and Local Regression Models;Agronomy;2023-01-20
5. Machine Learning approaches for Crop Yield Prediction: A Review;2022 7th International Conference on Computing, Communication and Security (ICCCS);2022-11-03
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