UAV-based multispectral vegetation indices for assessing the interactive effects of water and nitrogen in irrigated horticultural crops production under tropical sub-humid conditions: a case of African eggplant
UAV-based multispectral vegetation indices are often used to assess crop performance and water consumptive use. However, their ability to assess the interaction between water, especially deficit irrigation, and nitrogen application rates in irrigated agriculture has been less explored. Understanding...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/119187 |
Similar Items: UAV-based multispectral vegetation indices for assessing the interactive effects of water and nitrogen in irrigated horticultural crops production under tropical sub-humid conditions: a case of African eggplant
- The feasibility of hand-held thermal and UAV-based multispectral imaging for canopy water status assessment and yield prediction of irrigated African eggplant (Solanum aethopicum L)
- Optimizing water and nitrogen application for neglected horticultural species in tropical sub-humid climate areas: a case of African eggplant (Solanum aethiopicum L.)
- Advancing Soil Moisture Prediction Using Satellite and UAV-based Imagery with Machine Learning Models
- UAV based survey on portions of the Crocodile, Sabie, and Olifants rivers at Kruger National Park, Limpopo, South Africa to obtain LiDAR, RGB and multispectral imagery
- Optimal machine learning algorithms and UAV multispectral imagery for crop phenotypic trait estimation: a comprehensive review and meta-analysis
- Dataset: Forage grasses in crop fields from ultra-high spatial resolution UAV-based imagery