Uncertainty sources affecting operational efficiency of ML algorithms in UAV-based precision agriculture: A 2013–2020 systematic review
Conventional methods of data sampling in agriculture are time consuming, labor intensive, destructive, subject to human error and affected by field conditions. Thus, remote sensing technologies such as unmanned aerial vehicles (UAVs) became widely used as an alternative for data collection. Neverthe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2023-07-01
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| Series: | AIMS Agriculture and Food |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/agrfood.2023038?viewType=HTML |