Estimating corn leaf chlorophyll content using airborne multispectral imagery and machine learning
Chlorophyll is crucial for photosynthesis and impacts plant growth and yield in crops. Accurate estimation of plant health and fertilizer status is essential for effective nitrogen (N) management in corn. However, crop chlorophyll is primarily quantified using handheld sensors, which is time-consumi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S277237552400323X |
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