AERIAL CIR REMOTE SENSING FOR WEED DENSITY MAPPING IN A SOYBEAN FIELD
Author:
Publisher
American Society of Agricultural and Biological Engineers (ASABE)
Subject
Agricultural and Biological Sciences (miscellaneous)
Cited by 23 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. Enhancing Wheat Disease Diagnosis in a Greenhouse Using Image Deep Features and Parallel Feature Fusion;Frontiers in Plant Science;2022-03-10
2. Benefits and Limitations of Decision Support Systems (DSS) with a Special Emphasis on Weeds;Agronomy;2020-04-10
3. Accuracy Investigation of Creating Orthophotomaps Based on Images Obtained by Applying Trimble-UX5 UAV;Reports on Geodesy and Geoinformatics;2017-06-27
4. Derivation of weed intensity maps in wheat (Triticum aestivum) using spatial data with GIS in the central districts of Punjab, India;The Indian Journal of Agricultural Sciences;2015-05-13
5. Multispectral Remote Sensing to Distinguish the Little Seed Canary Grass (Phalaris Minor) from Wheat Crop Under Field Conditions for Environmental Sustainability and Precision Weed Management;Climate Change Modelling, Planning and Policy for Agriculture;2015
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