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"Coffee Is Not Forever assesses the global spread of a dire existential threat-coffee rust-to a crop consumers take for granted. In departing from commodity histories' usual emphasis on the social and economic, and instead putting ecology at the forefront, Stuart McCook offers the first truly global environmental history of coffee"--

Hemileia vastatrix. --- Coffee rust disease --- Coffee leaf rust --- Leaf rust disease, Coffee --- Orange coffee rust disease --- Orange leaf rust disease of coffee --- Coffee --- Rust diseases --- Coffee leaf rust fungus --- Coffee rust fungus --- Leaf rust fungus, Coffee --- Orange coffee rust fungus --- Orange leaf rust fungus of coffee --- Hemileia --- History. --- Environmental aspects. --- Diseases and pests

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This Special Issue explores underrepresented aspects of the political dimensions of global warming. It includes post- and decolonial perspectives on climate-related migration and conflict, intersectional approaches, and climate change politics as a new tool of governance. Its aim is to shed light on the social phenomena associated with anthropogenic climate change, as well as its multidimensional and far-reaching political effects, including climate-induced migration movements and climate-related conflicts in different parts of the world. In doing so, it critically engages with securitizing discourses and the resulting anti-migration arguments and policies in the Global North in order to identify and give a voice to alternative and hitherto underrepresented research and policy perspectives. In this way, it aims to contribute to a fact-based, critical, and holistic approach to human mobility and conflict in the context of political and environmental crisis.

telecoupling --- sustainability --- multi-stakeholder initiatives --- roundtable for sustainable palm oil --- sustainable natural rubber initiative --- climate change --- climigration --- environmental change --- migration --- mobility --- refugees --- relocation --- resettlement --- livelihoods --- Pacific Islands --- SIDS --- vulnerability --- exposure --- disasters --- violent conflict --- disaster risk reduction --- conflict prevention --- humanitarian assistance --- development assistance --- climate change migration --- adaptation --- displacement --- forced relocation --- forced migration --- Gilbertese people --- Phoenix Islands --- Wagina Island --- immobility --- environmental migration and mobility --- trapped populations --- migration governance --- Senegal --- Vietnam --- planned relocation --- migration-climate change-coffee nexus --- migration as adaptation --- in situ adaptation --- coffee leaf-rust --- transborder region --- narratives --- environmental migration --- environmental justice --- North–South relations --- climate change politics --- conflict --- intersectionality --- postcolonial studies

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Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.

History of engineering & technology --- 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 --- Hill-Tsai failure criterion --- teaching-learning

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Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.

History of engineering & technology --- 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