Sustainable Agriculture and Advances of Remote Sensing (Volume 1) (MDPI - Multidisciplinary Digital Publishing Institute, 2022)
Keywords: 1D convolution neural networks; 3D bale wrapping method; 3D Convolutional Neural Network; agricultural monitoring; agriculture; algorithms; anomaly intrusion detection; artificial neural network; autonomous robots; band selection; Bidirectional long-short term memory; Boufakrane River watershed; canopy conductance; CCA; chlorophyll a; chlorophyll-a concentration; climate change; clustering; CNN; coastal management; Coatzacoalcos; Comino; computer vision; convolutional neural networks; Copernicus Sentinels; crop classification; crop fields; crop mapping; crop yield improvement; crops; crops diseases; cubic SVM; cucumber; data analysis; data augmentation; data fusion; deep learning; deep transfer learning; density estimation; dissolved oxygen; drone; Earth Sciences, Geography, Environment, Planning; entropy; environmental monitoring; environmental protection; equal bale dimensions; evapotranspiration; Explainable Artificial Intelligence; Faster R-CNN; features fusion; food security; forest roads; geographic information system (GIS); Geography; GIS; Google Earth Engine; Gozo; green ring; green technologies; guava disease; histogram; hyperparameter optimization; hyperspectral; hyperspectral imagery; hyperspectral imaging; hyperspectral remoting sensing; IDS; image classification; internet of things; internode-elongation; Interreg; invasive plants; IoT; IoT ecosystem; irrigation requirements; land use; land use classification; Land Use/Land Cover; Landsat; leaf disease; LISS-III; machine learning; machine learning algorithm; machine vision; Malta; mango leaf; mathematical model; metaheuristic; minimal film consumption; modeling; modeling approach; modified normalized difference water index (MNDWI); modular robot; multi-temporal data; multispectral; natural resources; NDVI; nitrate; nitrogen prediction; normalized difference vegetation index (NDVI)