Intelligent data mining and fusion systems in agriculture /
Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artifi...
| Main Authors: | , , |
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| Language: | English |
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London, United Kingdom :
Academic Press, an imprint of Elsevier,
[2020]
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| Subjects: | |
| Online Access: | ScienceDirect |
Table of Contents:
- Sensors in agriculture
- Artificial intelligence in agriculture
- Utilization of multisensors and data fusion in precision agriculture
- Tutorial I : Weed detection
- Tutorial II : Disease detection with fusion techniques
- Tutorial III : Disease and nutrient stress detection
- Tutorial IV : Leaf disease recognition
- Tutorial V : Yield prediction
- Tutorial VI : Postharvest phenotyping
- General overview of the proposed data mining and fusion techniques in agriculture