Book ; Online: Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
2022
Keywords | Research & information: general ; Geography ; 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 |
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Language | 0|e |
Size | 1 electronic resource (322 pages) |
Publisher | MDPI - Multidisciplinary Digital Publishing Institute |
Document type | Book ; Online |
Note | English ; Open Access |
HBZ-ID | HT021621165 |
ISBN | 9783036553368 ; 3036553363 |
Database | ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture |
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