Resultados de búsqueda - "Machining."

Agricultura digital y servicios agroclimáticos: Modernizando los servicios de extensión en el sector arrocero para mejorar la adaptación al clima por Barrios Perez, Camilo

Materias: “…machine learning…”
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A comparison between support vector machine and water Cloud model for estimating crop leaf area index por Hosseini, Mehdi, McNairn, Heather, Mitchell, Scott, Robertson, Laura Dingle, Davidson, Andrew, Ahmadian, Nima, Bhattacharya, Avik, Borg, Erik, Conrad, Christopher, Dabrowska Zielinska, Katarzyna, De Abelleyra, Diego, Gurdak, Radoslaw, Kumar, Vineet, Kussul, Nataliia, Mandal, Dipankar, Rao, Y.S., Saliendra, Nicanor, Shelestov, Andrii, Spengler, Daniel, Veron, Santiago Ramón, Homayouni, Saeid, Becker Reshef, Inbal

Materias: “…Machine Learning…”
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Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorith... por Ajith, S., Vijayakumar, S., Elakkiya, N.

Materias: “…machine learning…”
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Updating high-resolution image dataset for the automatic classification of phenological stage and identification of racemes in Urochloa spp. hybrids with expanded images and annota... por Arrechea-Castillo, Darwin Alexis, Espitia-Buitrago, Paula, Florian-Vargas, David, Estupinan, Ronald David, Velázquez-Hernández, Riquelmer, Ruiz-Hurtado, Andres Felipe, Hernandez, Luis Miguel, Jauregui, Rosa Noemi, Cardoso, Juan Andres

Materias: “…machine learning…”
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A Machine Learning- Based Approach for the Discovery of Climate Smart Peaches por Aballay, Maximiliano Martín, Chirino, Julian Santiago, Valentini, Gabriel Hugo, Sanchez, Gerardo

Materias: “…Machine Learning…”
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Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity por Fernandez, Pedro David, Gärtner, Phillipp, Nasca, Jose Andres, Rojas, Tobias, Gasparri, Nestor Ignacio

Materias: “…Machine Learning Object Detection…”
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Assessing the prospects of remote sensing maize leaf area index using UAV-derived multi-spectral data in smallholder farms across the growing season por Buthelezi, S., Mutanga, O., Sibanda, M., Odindi, J., Clulow, A.D., Chimonyo, Vimbayi Grace Petrova, Mabhaudhi, Tafadzwanashe

Materias: “…machine learning…”
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A systematic review of UAV applications for mapping neglected and underutilised crop species’ spatial distribution and health por Abrahams, M., Sibanda, M., Dube, T., Chimonyo, Vimbayi Grace Petrova, Mabhaudhi, Tafadzwanashe

Materias: “…machine learning…”
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Hydropower versus irrigation—an analysis of global patterns por Zeng, Ruijie, Cai, Ximing, Ringler, Claudia, Zhu, Tingju

Materias: “…machine learning…”
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Machine learning algorithms identified relevant SNPs for milk fat content in cattle por Ríos, Pablo J., Raschia, Maria Agustina, Maizon, Daniel Omar, Demitrio, Daniel Arturo, Poli, Mario Andres

Materias: “…Machine Learning Methods…”
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Options for digital twin application in developing country river basin management: a review por Botai, Joel O., Ghosh, Surajit, Matheswaran, Karthikeyan, Dickens, Chris, Langa, Nkateko, Garcia Andarcia, Mariangel

Materias: “…machine learning…”
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Control selectivo de festuca infectada con endófito toxico utilizando la “máquina de botalón de alfombra” = Selective control of fescue infected with toxic endophyte using the “car... por Borrajo, Celina Ines, Braco, Marcelo, Larrea, Gaston Emiliano, Messa, Juan Carlos

Materias: “…Carpet Boom Machine…”
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LLS-SevEst – Late leaf spot severity estimator. A machine learning approach to assessing Nothopassalora personata in peanut por Herrador, Tiago A., Migotti Scaglia, Juliana, Paredes, Juan Andrés, Cazon, Luis Ignacio

Materias: “…Machine Learning…”
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SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect Technique por De La Vega, Gerardo, Smith, Luciano, Soria-Mercier, Lihuen, Edwards, Wilson, Triñanes, Federico, Masagué, Santiago, Corley, Juan Carlos

Materias: “…Machine Learning…”
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Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an Unmanned Aerial Vehicle (UAV) p... por Brewer, K., Clulow, A.D., Sibanda, M., Gokool, S., Odindi, J., Mutanga, O., Naiken, V., Chimonyo, Vimbayi Grace Petrova, Mabhaudhi, Tafadzwanashe

Materias: “…machine learning…”
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State of continental discharge estimation and modelling: challenges and opportunities for Africa por Akpoti, Komlavi, Mekonnen, Kirubel, Leh, Mansoor, Owusu, Afua, Dembélé, Moctar, Tinonetsana, Primrose, Seid, Abdulkarim, Velpuri, Naga Manohar

Materias: “…machine learning…”
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IWMI in Nigeria - fact sheet por International Water Management Institute

Materias: “…machine learning…”
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Advancements in sunflower multiparental population phenotyping for Verticillium Wilt using UAV-based multispectral imagery por Dominguez, Matías, Colombo, Denis Nahuel, Dillchneider Loza, Alexandra, Lavandera, Javier Eduardo, Corro Molas, Andres Ezequiel, Troglia, Carolina Beatriz, Paniego, Norma Beatriz

Materias: “…Machine Learning…”
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Agricultural land suitability analysis: state-of-the-art and outlooks for integration of climate change analysis por Akpoti, K., Kabo-bah, A.T., Zwart, Sander J.

Materias: “…machine learning…”
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Mapping land suitability for informal, small-scale irrigation development using spatial modelling and machine learning in the Upper East Region, Ghana por Akpoti, K., Higginbottom, T. P., Foster, T., Adhikari, R., Zwart, Sander J.

Materias: “…machine learning…”
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