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Palabras clave – provistas por la editorial

geographic information system (GIS); pocket beaches; coastal management; Interreg; climate change; remote sensing; drone; Sicily; Malta; Gozo; Comino; systematic literature review; anomaly intrusion detection; deep learning; IoT; resource constraint; IDS; evapotranspiration; penman-monteith equation; artificial neural network; canopy conductance; Ziz basin; water quality; satellite image analysis; modeling approach; nitrate; dissolved oxygen; chlorophyll a; time series analysis; environmental monitoring; water extraction; modified normalized difference water index (MNDWI); machine learning algorithm; hyperspectral; proximal sensing; panicle initiation; normalized difference vegetation index (NDVI); green ring; internode-elongation; Sentinel 1 and 2; Copernicus Sentinels; crop classification; food security; agricultural monitoring; data analysis; SAR; random forest; 3D bale wrapping method; equal bale dimensions; mathematical model; minimal film consumption; optimal bale dimensions; round bales; Sentinel-2; SVM; RF; Boufakrane River watershed; irrigation requirements; water resources; sustainable land use; agriculture; invasive plants; precision agriculture; rice farming; site-specific weed management; nitrogen prediction; 1D convolution neural networks; cucumber; crop yield improvement; mango leaf; CCA; vein pattern; leaf disease; cubic SVM; chlorophyll-a concentration; transfer learning; overfitting; data augmentation; guava disease; plant disease detection; crops diseases; entropy; features fusion; machine learning; object-based classification; density estimation; histogram; land use; crop fields; soil tillage; data fusion; multispectral; sensor; probe; temperature profile; forest roads; simulation; autonomous robots; smart agriculture; environmental protection; photogrammetry; path planning; internet of things; modeling; convolutional neural networks; machine vision; computer vision; modular robot; selective spraying; vision-based crop and weed detection; Faster R-CNN; YOLOv5; band selection; CNN; NDVI; hyperspectral imaging; crops; urban flood; Sentinel-1a; Synthetic Aperture Radar (SAR); 3D Convolutional Neural Network; multi-temporal data; land use classification; GIS; Coatzacoalcos; algorithms; clustering; pest control; site-specific; virtual pests; rice plant; weed; hyperspectral imagery; sustainable agriculture; green technologies; Internet of Things; natural resources; sustainable environment; IoT ecosystem; hyperspectral remoting sensing; crop mapping; image classification; deep transfer learning; hyperparameter optimization; metaheuristic; soil attribute; ordinary Kriging; rational sampling numbers; spatial heterogeneity; sampling; soil pH; spatial variation; ordinary kriging; Land Use/Land Cover; LISS-III; Landsat; Vision Transformer; Bidirectional long-short term memory; Google Earth Engine; Explainable Artificial Intelligence