Moisture prediction in chicken litter using hyperspectral data and machine learning
Efficient moisture monitoring in chicken litter is essential for sustainable poultry waste management and its application as an organic fertilizer. Conventional methods like oven drying are destructive, time-consuming, and unsuitable for real-time assessment. While hyperspectral imaging (HSI) has be...
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| Main Authors: | Ahmad Tulsi, Abdul Momin, Victoria Ayres |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525002916 |
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