Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring

Agricultural production management is facing a new era of intelligence and automation. With developments in sensor technologies, the temporal, spectral, and spatial resolution from ground/air/space platforms have been notably improved. Optical sensors play an essential role in agriculture production...

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Bibliographic Details
Format:	eBook
Language:	English
Published:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	History of engineering & technology Technology: general issues 3D TOF sensor accuracy accuracy evaluation agriculture angle normalization anomaly detection attention mechanism biomass black soil body condition score cane yield canopy cover CBAM chlorophyll classification continuous wavelet transform convolutional neural network corn diseases crop type classification cropland dairy cows deep learning detection of apple leaf diseases feature extraction feature parameters extraction feature selection fractal feature fractional vegetation cover fusarium head blight geostationary satellite GOCI hyperspectral LAI land cover land use leaf detection light interception lightweight LSTM machine learning maturity monitoring Minnaert model multi-seasonal multi-temporal multiscale detection multispectral imagery n/a non-contact evaluation path length correction peanut southern blight precision agriculture principal component analysis random forest recognize area of interest reflection spectrum remote sensing rice Sentinel data smart agriculture soil moisture content soybean spectral index spectral processing technology SRTM sugarcane clones tasseled cap transformation texture indices transfer learning transformer UAV unmanned aerial vehicle unmanned aerial vehicle (UAV) validation vegetation canopy reflectance VGNet weed identification winter wheat yield estimation YOLOv4-Tiny YOLOv5
Online Access:	Open Access: DOAB: description of the publication Open Access: DOAB, download the publication

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Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication

Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring

Internet

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