Wheat Crop Field and Yield Prediction using Remote Sensing and Machine Learning

Author:

Ayub Maheen1,Khan Najeed Ahmed2,Haider Rana Zeeshan3

Affiliation:

1. NED University of Engineering and Technology,Department of Computer Science and Information Technology,Karachi,Pakistan

2. NED University of Engineering and Technology,Co-PI NCAI Smart City lab,Department of Computer Science and Information Technology,Karachi,Pakistan

3. Baqai Institute of Hematology, Baqai Medical University,Karachi Karachi,Pakistan,75340

Publisher

IEEE

Cited by 5 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. Field-Scale Yield Estimation Using Remote Sensing Time-Aggregate Variables;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. GACDNet:Mapping winter wheat by generative adversarial cross-domain networks with transformer integration for zero-sample extraction;Computers and Electronics in Agriculture;2024-06

3. Machine Learning Techniques in Wheat Crop Yield Prediction Using NDVI Indices and Meteorological Parameters;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

4. Crop Yield Prediction Using Satellite Imagery;2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS);2023-11-02

5. Applicability of machine learning techniques in predicting wheat yield based on remote sensing and climate data in Pakistan, South Asia;European Journal of Agronomy;2023-07

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