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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Formatua:	Online
Hizkuntza:	ingelesa
Argitaratua:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Gaiak:	soil moisture content spectral processing technology hyperspectral principal component analysis feature parameters extraction yield estimation rice unmanned aerial vehicle (UAV) tasseled cap transformation precision agriculture weed identification YOLOv4-Tiny attention mechanism multiscale detection angle normalization vegetation canopy reflectance geostationary satellite path length correction Minnaert model GOCI winter wheat LSTM LAI deep learning land use land cover classification random forest Sentinel data SRTM feature selection accuracy validation unmanned aerial vehicle soybean convolutional neural network multispectral imagery fusarium head blight texture indices machine learning cropland multi-seasonal fractal feature feature extraction accuracy evaluation black soil UAV chlorophyll fractional vegetation cover maturity monitoring anomaly detection smart agriculture detection of apple leaf diseases YOLOv5 transformer CBAM crop type classification multi-temporal remote sensing dairy cows body condition score 3D TOF sensor non-contact evaluation recognize area of interest sugarcane clones canopy cover light interception biomass cane yield peanut southern blight reflection spectrum spectral index continuous wavelet transform VGNet corn diseases leaf detection lightweight transfer learning agriculture n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Sarrera elektronikoa:	ONIX_20240108_9783036597980_103
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Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring

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