Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring

• Autres auteurs: Yue, Jibo (Éditeur intellectuel), Zhou, Chengquan (Éditeur intellectuel), Feng, Haikuan (Éditeur intellectuel), Yang, Yanjun (Éditeur intellectuel), Zhang, Ning (Éditeur intellectuel)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Sujets: Technology: general issues; History of engineering & technology; 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
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

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...