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Root crops --- Tuber crops --- Diseases and pests --- Integrated control --- Congresses. --- Lutte intégrée --- Plante racine --- Plante amylacée --- Starch crops --- Zone tropicale --- Tropical zones --- Insecte nuisible --- Pest insects --- Mauvaise herbe --- Weeds --- Lutte anti-insecte --- Insect control --- Désherbage --- Weed control --- Lutte chimique --- Chemical control --- Virus des végétaux --- Plant viruses --- Manihot esculenta --- Solanum tuberosum --- Ipomoea batatas --- Nématode des plantes --- plant nematodes --- Gestion intégrée des ravageurs --- Integrated pest management --- 633.4 --- 632.93 --- -Tuber crops --- -Tuberous crops --- Food crops --- Root vegetables --- Edible roots and tubers. Root crops --- Methods of control of plant diseases, pests, damage --- -Integrated control --- -Congresses --- -Edible roots and tubers. Root crops --- 632.93 Methods of control of plant diseases, pests, damage --- 633.4 Edible roots and tubers. Root crops --- -632.93 Methods of control of plant diseases, pests, damage --- Tuberous crops --- Diseases and pests&delete& --- Integrated control&delete& --- Congresses --- Root crops - Diseases and pests - Integrated control - Congresses. --- Tuber crops - Diseases and pests - Integrated control - Congresses. --- Iita --- Tropical crops

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Tropical crops --- Plant diseases --- Phytopathogenic microorganisms --- Diseases and pests --- Control --- Diseases and pests. --- Tropical crops - Diseases and pests --- Plant diseases - Tropics --- Phytopathogenic microorganisms - Control - Tropics --- Micro-organisms, Phytopathogenic --- Microbial plant pathogens --- Plant pathogens --- Microorganisms --- Plant parasites --- Agricultural microbiology --- Microbial herbicides --- Botany --- Communicable diseases in plants --- Crop diseases --- Crops --- Diseases of plants --- Microbial diseases in plants --- Pathological botany --- Pathology, Vegetable --- Phytopathology --- Plant pathology --- Plants --- Vegetable pathology --- Agricultural pests --- Crop losses --- Diseased plants --- Plant pathologists --- Plant quarantine --- Pathology --- Diseases --- Wounds and injuries

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Plant virus and sub-viral agents cause considerable losses in crop production as they are so widely spread.  They are transmitted by means of vegetative propagation of seedlings and also through insect vectors.  They infect field crops, vegetables, cereals, oil seeds, fruit crops and ornamentals.  The virus may enter into plants through seed / planting material or by vectors.  Once the virus is in the field, it multiplies and spreads following definite patterns depending upon the nature of the vector and agro-meteorological conditions. Detection of virus and sub-viral agents at initial stages of infection is critical to reduce economic losses.  For nearly two decades, ELISA and its variants played a major role in large scale virus testing and also in the production of virus-free planting materials.  In recent years nucleic acid - based molecular detection methods such as the amplification of nucleic acids (PCR and its variants), microarrays, rDNA technology, DNA barcoding, DNA biosensors and other improved techniques are playing pivotal role in specific virus testing, identification of new viruses, virus strain differentiation, identification of virus relationships and other biological aspects, as these techniques are specific, sensitive and reproducible.  Nevertheless, integrated management measures have evident benefits and should be fostered and promoted for managing virus and sub-viral diseases for enhancing crop productivity. This book provides the latest valuable overview of the plant virus and virus-like diseases in tropical countries on aspects like introduction about plant viruses, their classification; transmission and diagnostic techniques; the well written chapters are thoroughly up-to-date and amply and clearly illustrated with numerous photographs.  It is a good source of information on plant virus and sub-viral pathogens to all plant virologists, students, faculty, research and quarantine organizations.

Plant viruses -- Tropics. --- Tropical crops -- Diseases and pests. --- Virus diseases of plants -- Tropics. --- Agriculture --- Earth & Environmental Sciences --- Plant Sciences --- Plant viruses --- Virus diseases of plants --- Viroid diseases of plants --- Plant virus diseases --- Plants --- Phytopathogenic viruses --- Plant virology --- Virus diseases --- Life sciences. --- Agriculture. --- Plant science. --- Botany. --- Plant pathology. --- Life Sciences. --- Plant Pathology. --- Plant Sciences. --- Plant diseases --- Phytopathogenic microorganisms --- Viruses --- Plant diseases. --- Botanical science --- Phytobiology --- Phytography --- Phytology --- Plant biology --- Plant science --- Biology --- Natural history --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Botany --- Communicable diseases in plants --- Crop diseases --- Crops --- Diseases of plants --- Microbial diseases in plants --- Pathological botany --- Pathology, Vegetable --- Phytopathology --- Plant pathology --- Vegetable pathology --- Agricultural pests --- Crop losses --- Diseased plants --- Plant pathologists --- Plant quarantine --- Pathology --- Diseases and pests --- Diseases --- Wounds and injuries --- Floristic botany

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Agriculture, as the main source of alimentation and the most important economic activity globally, is being affected by the impacts of climate change. To maintain and increase our global food system production, to reduce biodiversity loss and preserve our natural ecosystem, new practices and technologies are required. This book focuses on the latest advances in remote sensing technology and agricultural engineering leading to the sustainable agriculture practices. Earth observation data, in situ and proxy-remote sensing data are the main source of information for monitoring and analyzing agriculture activities. Particular attention is given to earth observation satellites and the Internet of Things for data collection, to multispectral and hyperspectral data analysis using machine learning and deep learning, to WebGIS and the Internet of Things for sharing and publishing the results, among others.

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