Resultados de búsqueda - "crop modelling"

Climate Change Impacts in Bhutan: Challenges and opportunities for the agricultural sector por Parker, Louis, Guerten, Nora, Thi Nguyen, Than, Rinzin, Chimi, Tashi, Dawa, Wangchuk, Dorji, Bajgai, Yadunath, Subedi, Kiran, Phuntsho, Loday, Thinley, Namgay, Chhogyel, Ngawang, Gyalmo, Tasho, Katwal, Tirtha B., Zangpo, Tshelthrim, Acharya, Sagar, Pradhan, Sangita, Penjor, Sonam

Materias: “…crop modelling…”
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Upland rice breeding led to increased drought sensitivity in Brazil por Heinemann, Alexandre B., Ramírez Villegas, Julián Armando, Rebolledo, María Camila, Costa Neto, Germano Martins F., Pereira Castro, Adriano

Materias: “…crop modelling…”
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Modelos de Predicción para Mejores Decisiones por International Center for Tropical Agriculture

Materias: “…crop modelling…”
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Prediction Models for Better Decisions por International Center for Tropical Agriculture

Materias: “…crop modelling…”
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Training report: household modeling with FarmDESIGN, Phnom Penh, Cambodia, 9–11 May 2017 por Paul, Birthe K.

Materias: “…crop modelling…”
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Quantifying potential yield and yield gaps of soybean using CROPGRO-soybean model in the humid tropics of southwestern Ethiopia por Mekonnen, A., Getnet, M., Nebiyu, A., Abebe, A.T.

Materias: “…crop modelling…”
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Climate variability indices for ecological and crop models in R: the climatrends package por Sousa, Kauê de, Etten, Jacob van, Neby, Magne, Solberg, Svein Øivind

Materias: “…crop modelling…”
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Simulation of Rice Performance Using AquaCrop Model Under Different Water Management Regimes in Ghana: Methodological Report and Progress por Oke, Adebayo, Zemadim, Birhanu, Amankwaa-Yeboah, Patricia, Cofie, Olufunke O.

Materias: “…crop modelling…”
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Statistics from space: Remote sensing for crop type mapping por Paris, Claudia

Materias: “…crop modelling…”
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Integrated description of agricultural field experiments and production: The ICASA Version 2.0 data standards por White, Jeffrey W., Hunt, L.A., Boote, Kenneth J., Jones, James W., Koo, Jawoo, Kim, Soonho, Porter, Cheryl H., Wilkens, Paul W., Hoogenboom, Gerrit

Materias: “…crop modelling…”
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Entregando servicios climáticos a escala; Aclimate Guatemala, plataforma de pronósticos de rendimientos de cultivos para agricultores por Navarro, Carlos, Chavez, Mario, Barrios, Camilo, Sotelo, Steven, Martinez, Deissy, Ramirez Villegas, Julian

Materias: “…crop modelling…”
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Early sowing enhances genotypic performance in mitigating the risk of wheat blast-induced yield loss: evidence from a 23-year simulation study in Bangladesh por Krupnik, Timothy J., Cunha Fernandes, José M., Pavan, Willingthon O., Berton Ferreira, Thiago, Pequeno, Diego N.L., Hoogenboom, Gerrit, Covert, Virginia L., Hossain, M. Khaled, Md. Harun-Or-Rashid, Islam, Rabiul, Lazaretti Zanatta, Alexandre, Stuerz, Sabine, Hossain, Akbar

Materias: “…crop modelling…”
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Crop science experiments designed to inform crop modeling por Craufurd, Peter Q., Vadez, Vincent, Jagadish, Krishna S.V., Vara Prasad, P.V.V., Zaman-Allah, M.A.

Materias: “…crop modelling…”
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BIG DATA Crop Modeling Community of Practice – Work Plan 2018 por CGIAR Platform for Big Data in Agriculture

Materias: “…crop modelling…”
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BIG DATA Crop Modeling Community of Practice – Work Plan 2019 por CGIAR Platform for Big Data in Agriculture

Materias: “…crop modelling…”
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BIG DATA Crop Modeling Community of Practice – Work Plan 2020 por CGIAR Platform for Big Data in Agriculture

Materias: “…crop modelling…”
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Wheat yield gaps across smallholder farming systems in Ethiopia por Silva, ‪João Vasco, Reidsma, Pytrik, Baudron, Frédéric, Jaleta, Moti, Tesfaye, Kindie, Ittersum, Martin K. van

Materias: “…crop modelling…”
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Planting rice at monsoon onset could mitigate the impact of temperature stress on rice-wheat systems of Bihar, India por Montes, Carlos, Urfels, Anton, Eunjin Han, Singh, Balwinder

Materias: “…crop modelling…”
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Phenological optimization of late reproductive phase for raising wheat yield potential in irrigated mega-environments por Pengcheng Hu, Chapman, Scott C., Sukumaran, Sivakumar, Reynolds, Matthew P., Bangyou Zheng

Materias: “…crop modelling…”
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Development of AI methods for seed yield prediction using RGB images: Progress Report por Arrechea, Darwin A., Cardoso Arango, Juan Andrés

Materias: “…crop modelling…”
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