Corn Grain Yield Prediction Using UAV-based High Spatiotemporal Resolution Multispectral Imagery
Author:
Affiliation:
1. University of Ottawa,Faculty of Engineering,Ottawa,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10029378/10029381/10031233.pdf?arnumber=10031233
Reference46 articles.
1. UAV-based multispectral remote sensing for precision agriculture: A comparison between different cameras
2. A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices
3. The Digitisation of Agriculture: a Survey of Research Activities on Smart Farming
4. Crop yield prediction with deep convolutional neural networks
5. Combining Spatial and Temporal Corn Silage Yield Variability for Management Zone Development
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1. Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, Machine Learning, and Spatial Cross-Validation;Remote Sensing;2024-02-14
2. Corn Yield Prediction using Spatial-Temporal Data and Deep Learning;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15
3. Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction;2023 IEEE International Conference on Data Mining Workshops (ICDMW);2023-12-04
4. Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01
5. UAV Platform for Pesticide Spraying and Disease Detection for Areca Nut and Pepper Plantations;2023 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER);2023-10-13
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