A scalable crop yield estimation framework based on remote sensing of solar-induced chlorophyll fluorescence (SIF)
Projected increases in food demand driven by population growth coupled with heightened agricultural vulnerability to climate change jointly pose severe threats to global food security in the coming decades, especially for developing nations. By providing real-time and low-cost observations, satellit...
| Autores principales: | , , , , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
IOP Publishing
2024
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/172756 |
Ejemplares similares: A scalable crop yield estimation framework based on remote sensing of solar-induced chlorophyll fluorescence (SIF)
- Chlorophyll fluorescence and reflectance-based non-invasive quantification of blast, bacterial blight and drought stresses in rice
- High-throughput chlorophyll fluorescence screening of Setaria viridis for mutants with altered CO2 compensation points
- Chlorophyll fluorescence analysis for assessing water deficit and Arbuscular Mycorrhizal Fungi (AMF) inoculation in cassava (Manihot esculenta Crantz)
- Applications of chlorophyll fluorescence imaging technique in horticultural research: A review
- Stem canker caused by Phomopsis spp. Induces changes in polyamine levels and chlorophyll fluorescence parameters in pecan leaves
- Use of chlorophyll fluorescence imaging as diagnostic technique to predict compatibility in melon graft