Applications of Remote Image Capture System in Agriculture |
Autore | Molina Martínez José Miguel |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (310 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
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 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557895803321 |
Molina Martínez José Miguel
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Grafting as a Sustainable Means for Securing Yield Stability and Quality in Vegetable Crops |
Autore | Rouphael Youssef |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (246 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
Soggetto non controllato |
tomato grafting
splice grafting technique graft angle random diameter wild eggplant relative interspecific hybrid scion/rootstock combination plant vigour yield fruit quality attributes cucumber grafting techniques rootstock-scion soil-borne disease resistant tolerant crop growth fruit yield fruit quality LED PPFD PsaA PsbA Western Blot Cucumis melo L. arsenic grafting translocation bioaccumulation agricultural robot automated grafting agricultural machinery Tomato grafting salinity tolerance rootstock physio-biochemical mechanisms Solanum lycopresicum L. vegetable grafting Solanum melongena L. grafting combinations arbuscular micorrhizal fungi yield traits NUE mineral profile functional properties NaCl Citrullus vulgaris Schrad Luffa cylindrica Mill C. maxima Duch. × C. moschata Duch seedlings morpho-physiological traits solanaceae cucurbitaceae defense mechanisms soilborne pathogen genetic resistance microbial communities soil/root interface reduced irrigation rootstocks leaf gas exchange Citrullus lanatus (Thunb) Matsum and Nakai functional quality lycopene storage sugars texture eggplant grafting sensory evaluation Brassicaceae growth mineral content photosynthesis taproot |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557147703321 |
Rouphael Youssef
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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