Hyperspectral imaging and neural networks to classify herbicide-resistant weeds

Author:

Scherrer Bryan1,Sheppard John2,Jha Prashant3,Shaw Joseph A.1

Affiliation:

1. Montana State University, Department of Electrical and Computer Engineering, Bozeman, Montana

2. Montana State University, Gianforte School of Computing, Bozeman, Montana

3. Iowa State University, Department of Agronomy, Ames, Iowa

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 28 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. Herbicide spraying and weed identification using drone technology in modern farms: A comprehensive review;Results in Engineering;2024-02

2. Exploration and Mitigation of the Impact of Lighting Conditions on Multi-spectral Image Classification;2023 IEEE International Conference on Imaging Systems and Techniques (IST);2023-10-17

3. Precision farming technologies for crop protection: A meta-analysis;Smart Agricultural Technology;2023-10

4. Weed Management in Pulses: Overview and Prospects;Production and Utilization of Legumes - Progress and Prospects;2023-07-12

5. Dynamic Application of Unmanned Aerial Vehicles for Analyzing the Growth of Crops and Weeds for Precision Agriculture;Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices;2023-06-30

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