Search Results - "learning"

Relevant loci for milk production in dairy cattle, obtained by machine learning algorithms by Raschia, Maria Agustina, Ríos, Pablo J., Maizon, Daniel Omar, Demitrio, Daniel Arturo, Poli, Mario Andres

Subjects: “…Machine Learning…”
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Roads & SDGs, tradeoffs and synergies: learning from Brazil’s Amazon in distinguishing frontiers by Pfaff, Alexander, Robalino, Juan, Reis, Eustaquio J., Walker, Robert, Perz, Stephen, Laurance, William, Bohrer, Claudio, Aldrich, Steven, Arima, Eugenio, Caldas, Marcellus, Kirby, Kathryn R.

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Roads & SDGs, tradeoffs and synergies: learning from Brazil’s Amazon in distinguishing frontiers by Pfaff, Alexander, Robalino, Juan, Reis, Eustaquio J., Walker, Robert, Perz, Stephen, Laurance, William, Bohrer, Claudio, Aldrich, Steven, Arima, Eugenio, Caldas, Marcellus, Kirby, Kathryn R.

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Synthesis of Lessons Learned from Initial Implementation of the CGIAR Pilot Challenge Programs by CGIAR Secretariat, CGIAR Science Council

“…Joint report prepared by the CGIAR Secretariat and the Science Council Secretariat to synthesize lessons learned from the CGIAR pilot challenge programs and to make recommendations on the programs. …”
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Lessons learned and ways forward on CGIAR capacity development: A discussion paper by Staiger Rivas, Simone, Dror, Iddo, Babu, Suresh Chandra, Rudebjer, P.G., Kosina, Petr, Diop, N.N., Maru, Joyce, Bamba, Zoumana

“…The paper explores the lessons learned from CGIAR’s experience with CD and reflects the findings of a working group that was brought together in late 2012.…”
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Catalyzing and learning through private sector engagement for biodiversity conservation (CAL-PSE): a strategic partnership of the Alliance of Bioversity International & the International Center for Tropical Agriculture (CIAT): Lessons learned (2017-2024) by Deboni, Fabio, Caldas, Bernardo

“…The publication presents a set of lessons learned during the CAL-PSE Program (2017 - 2025), whose objective was to contribute to the conservation of biodiversity in the Brazilian Amazon through the engagement of the private sector.…”
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Predicting yields using biophysical crop simulations, machine learning and remote sensing in India by CGIAR Platform for Big Data in Agriculture

Subjects: “…learning…”
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Ultra-processed food consumption is associated with variations in daily routines in elementary schoolchildren during the COVID-19 pandemic in Chile by Fretes, Gabriela, Corvalán, Camila, Economos, Christina D., Wilson, Norbert L.W., Cash, Sean B.

Subjects: “…learning…”
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Mutual learning and partnership among developing countries in Asia can help address alarming food safety issues by Chi Nguyen

Subjects: “…learning…”
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The Gender Equality in Research Scale: A tool for monitoring and encouraging progress on gender integration in research for and in development by Paez Valencia, Ana Maria, Ihalainen, Markus, Elias, Marlène, Sijapati Basnett, Bimbika

Subjects: “…learning…”
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Terra-i+ Using machine learning to manage impacts of coffee production in Ocotepeque, Honduras by Alliance of Bioversity International and CIAT

Subjects: “…machine learning…”
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Business model testing and advisory with Root Capital and Sustainable Food Lab by Root Capital

Subjects: “…machine learning…”
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Understanding users formal meetings by Alliance of Bioversity International and CIAT

Subjects: “…machine learning…”
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Mining the gaps:using machine learning to map a million data points from agricultural research from the global south by Porciello, J., Lipper, L., Bourne, T., Ivanina, M., Lin, S., Langleben, S.

Subjects: “…machine learning…”
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Gender dimensions in the complexity of managing forest resource: learning from Berau District, Indonesia by Sakuntaladewi, Niken

Subjects: “…learning…”
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Desarrollo e implementación de un sistema de apoyo para laboratorios con dispositivos móviles - pockets en el Centro Internacional de la Papa by Verano, P.E.

Subjects: “…e-learning…”
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Interpretable machine learning methods to explain on-farm yield variability of high productivity wheat in Northwest India by Nayak, Harisankar, Silva, ‪João Vasco, Parihar, Chiter Mal, Krupnik, Timothy J., Sena, Dipaka Ranjan, Kakraliya, S., Jat, Hanuman Sahay, Sidhu, Harminder Singh, Sharma, Parbodh Chander, Jat, Mangi Lal, Sapkota, Tek Bahadur

Subjects: “…machine learning…”
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Developing timely and actionable drought forecasts for the Limpopo River Basin by Montes, Carlo

Subjects: “…machine learning…”
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Agriculture, Food and Nutrition Security: Concept, Datasets and Opportunities for Computational Social Science Applications by Amjath-Babu, T.S., López Ridaura, Santiago, Krupnik, Timothy J.

Subjects: “…machine learning…”
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Untangling the effect of soil quality on rice productivity under a 16-years long-term fertilizer experiment using conditional random forest by Garnaik, Saheed, Samant, Prasanna Kumar, Mandal, Mitali, Mohanty, Tushar Ranjan, Dwibedi, Sanat Kumar, Patra, Ranjan Kumar, Mohapatra, Kiran Kumar, Wanjari, Ravi H., Sethi, Debadatta, Sena, Dipaka Ranjan, Sapkota, Tek Bahadur, Nayak, Jagmohan, Patra, Sridhar, Parihar, Chiter Mal, Nayak, Harisankar

Subjects: “…machine learning…”
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