Applications of Remote Image Capture System in Agriculture
English[eng]
SVM||budding rate||UAV||geometric consistency||radiometric consistency||point clouds||ICP||reflectance maps||vegetation indices||Parrot Sequoia||artificial intelligence||precision agriculture||agricultural robot||optimization algorithm||online operation||segmentation||coffee leaf rust||machine learning||deep learning||remote sensing||Fourth Industrial Revolution||Agriculture 4.0||failure strain||sandstone||digital image correlation||Hill–Tsai failure criterion||finite element method||reference evapotranspiration||moisture sensors||machine learning regression||frequency-domain reflectometry||randomizable filtered classifier||convolutional neural network||U-Net||land use||banana plantation||Panama TR4||aerial photography||remote images||systematic mapping study||agriculture||applications||total leaf area||mixed pixels||Cabernet Sauvignon||NDVI||Normalized Difference Vegetation Index||precision viticulture||3D model||spatial vision||fertirrigation||teaching–learning||spectrometry||Sentinel-2||pasture quality index||normalized difference vegetation index||normalized difference water index||supplementation||decision making||digital agriculture||grape yield estimate||berries counting||Dilated CNN||machine learning algorithms||classification performance||winter wheat mapping||large-scale||water stress||Prunus avium L.||stem water potential||low-cost thermography||thermal indexes||canopy temperature||non-water-stressed baselines||non-transpiration baseline||soil moisture||andosols||image processing||greenhouse||automatic tomato harvesting||n/a