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Using Remote Sensing and an Unmanned Aerial System for Weed Management in Agricultural Crops: A Review
| Content Provider | MDPI |
|---|---|
| Author | Nik, Norasma Che’Ya Roslim, Muhammad Huzaifah Mohd Juraimi, Abdul Shukor Sulaiman, Nursyazyla Manaf, Muhammad Noor Hazwan Abd Ramli, Zaid Motmainna, Mst. |
| Copyright Year | 2021 |
| Description | Weeds are unwanted plants that can reduce crop yields by competing for water, nutrients, light, space, and carbon dioxide, which need to be controlled to meet future food production requirements. The integration of drones, artificial intelligence, and various sensors, which include hyperspectral, multi-spectral, and RGB (red-green-blue), ensure the possibility of a better outcome in managing weed problems. Most of the major or minor challenges caused by weed infestation can be faced by implementing remote sensing systems in various agricultural tasks. It is a multi-disciplinary science that includes spectroscopy, optics, computer, photography, satellite launching, electronics, communication, and several other fields. Future challenges, including food security, sustainability, supply and demand, climate change, and herbicide resistance, can also be overcome by those technologies based on machine learning approaches. This review provides an overview of the potential and practical use of unmanned aerial vehicle and remote sensing techniques in weed management practices and discusses how they overcome future challenges. |
| Starting Page | 1809 |
| e-ISSN | 20734395 |
| DOI | 10.3390/agronomy11091809 |
| Journal | Agronomy |
| Issue Number | 9 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-09-08 |
| Access Restriction | Open |
| Subject Keyword | Agronomy Agricultural Engineering Weeds Artificial Intelligence Hyperspectral Multi-spectral Weeds Management |
| Content Type | Text |
| Resource Type | Article |
