Chlorophyll content for millet leaf using hyperspectral imaging and an attention-convolutional neural network
ABSTRACT: Chlorophyll is a major factor affecting photosynthesis; and consequently, crop growth and yield. In this study, we devised a chlorophyll-content detection model for millet leaves in different stages of growth based on hyperspectral data. The hyperspectral images of millet leaves were obtai...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade Federal de Santa Maria
2020-04-01
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| Series: | Ciência Rural |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020000300205&tlng=en |