A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects
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Abstract
Hyperspectral sensor adaptability in precision agriculture to digital images is still at its nascent stage. Hyperspectral imaging (HSI) is data rich in solving agricultural problems like disease detection, weed detection, stress detection, crop monitoring, nutrient application, soil mineralogy, yield estimation, and sorting applications. With modern precision agriculture, the challenge now is to bring these applications to the field for real-time solutions, where machines are enabled to conduct analyses without expert supervision and communicate the results to users for better management of farmlands; a necessary step to gain complete autonomy in agricultural farmlands. Significant advancements in HSI…
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228
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5Topics & keywords
Topics
Keywords
- Precision agriculture
- Hyperspectral imaging
- Computer science
- Artificial intelligence
- Data pre-processing
- Field (mathematics)
- Data science
- Machine learning
UN Sustainable Development Goals
- Zero hunger
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