Resultados de búsqueda - Open learning.

Dataset: Forage grasses in crop fields from ultra-high spatial resolution UAV-based imagery por Cardoso Arango, Juan Andres, Jauregui, Rosa Noemi, Camelo-Munevar, Rodrigo Andres, Ruiz-Hurtado, Andres Felipe, Arrechea-Castillo, Darwin Alexis

Enlace del recurso

Field visit and workshop report: Defining the problem domain and identifying possible entry point for experiential learning intervention to support lantana management and landscape... por Bell, Andrew R., Sanil, Richu, Acharya, Pradyumna, Rakh, Pradeep, Hettiarachchi, Upeksha, Zhang, Wei

Enlace del recurso

Large-scale rollout of extension training in Bangladesh: Challenges and opportunities for gender-inclusive participation por Medendorp, John William, Reeves, N. Peter, Sal y Rosas Celi, Victor Giancarlo, Harun-Ar-Rashid, Krupnik, Timothy J., Lutomia, Anne Namatsi, Pittendrigh, Barry Robert, Bello-Bravo, Julia

Enlace del recurso

An XGBoost approach to predictive modelling of Rift Valley fever outbreaks in Kenya using climatic factors por Mulwa, D., Kazuzuru, B., Misinzo, G., Bett, Bernard K.

Enlace del recurso

Farmers agronomic management responses to extreme drought and rice yields in Bihar, India por Mkondiwa, Maxwell, Kishore, Avinash, Veettil, Prakashan Chellattan, Sherpa, Sonam, Saxena, Satyam, Pinjarla, Bhavani, Urfels, Anton, Poonia, Shishpal, Ajay, Anurag, Craufurd, Peter, Malik, Ram K., McDonald, Andrew J.

Enlace del recurso

Understanding Adaptive Capacity: Sustainable Livelihoods and Food Security in Coastal Bangladesh por Wright, H, Kristjanson, Patricia M., Bhatta, Gopal Datt

Enlace del recurso

Addressing environmental degradation and rural poverty through climate change adaptation: An evaluation of social learning in drought-affected districts of Southern India por Nair SK

Enlace del recurso

Characterization of rice yield based on biomass and SPAD-based leaf nitrogen for large genotype plots por Duque, Andres F., Patino, Diego, Colorado, Julian D., Petro, Eliel E., Rebolledo, Maria C, Mondragon, Iván Fernando, Espinosa, Natalia, Amézquita, Nelson, Puentes, Oscar D, Mendez, Diego, Jaramillo-Botero, Andres

Enlace del recurso

High-throughput characterization and phenotyping of resistance and tolerance to virus infection in sweetpotato por Kreuze, Jan F., Ramírez, D., Fuentes, S., Loayza, H., Ninanya, J., Rinza, J., David, M., Gamboa, S., Boeck, B. de, Díaz, F., Pérez, A., Silva, L., Campos, Hugo

Enlace del recurso

Application of a multi-layer convolutional neural network model to classify major insect pests in stored rice detected by an acoustic device por Balingbing, Carlito B., Kirchner, Sascha, Siebald, Hubertus, Kaufmann, Hans-Hermann, Gummert, Martin, Van Hung, Nguyen, Hensel, Oliver

Enlace del recurso

Color and Grey-Level Co-Occurrence Matrix Analysis for Predicting Sensory and Biochemical Traits in Sweet Potato and Potato por Nantongo, J.S., Serunkuma, E., Burgos, G., Nakitto, M., Kitalikyawe, J., Mendes, T., Davrieux, F., Ssali, R.T.

Enlace del recurso

Remote sensing and machine learning integration to detect and forecast floods in Lodwar Town, Turkwel Basin, Kenya por Lakew, Haileyesus Belay, Taye, Meron Teferi, Lino, O., Dyer, E.

Enlace del recurso

Unlocking the Potential of AI in Agricultural Research: Insights from ICRISAT’s Sensitization Workshop and Survey Findings por Rupavatharam, Srikanth, Patil, Mukund, Gelaye, Kidia, Reddy, Nagarjuna, Mitnala, Sreevani, Dhungel, Rajeev, Ravula, Padmaja

Enlace del recurso

Pathogen and pest communities in agroecosystems across climate gradients: anticipating future challenges in the highland tropics por Mouafo-Tchinda, R.A., Sula, A.I.P., Etherton, B.A., Okonya, J.S., Nakato, G.V., Xing, Y., Robledo, J., Adhikari, A., Blomme, G., Kantungeko, D., Nduwayezu, A., Kreuze. J.F., Kroschel, J., Legg, J.P., Garrett, K.A.

Enlace del recurso

Evidence and Lessons from Latin America (ELLA) por Harvey, Blane, Ensor, Jonathan, Garside, Ben, Woodend, John, Naess, Lars Otto, Carlile, Liz

Enlace del recurso

Watershed scale soil moisture estimation model using machine learning and remote sensing in a data-scarce context por Bueno, M., Baca García, C., Montoya, N., Rau, P., Loayza, H.

Enlace del recurso

Prediction of spatial heterogeneity in nutrient-limited sub-tropical maize yield: Implications for precision management in the eastern Indo-Gangetic Plains por Ahmed, Zia Uddin, Krupnik, Timothy J., Timsina, Jagadish, Saiful Islam, Hossain, M. Khaled, Alanuzzaman Kurishi, A.S.M., Shah-Al Emran, Harun-Ar-Rashid, McDonald, Andrew, Gathala, Mahesh K.

Enlace del recurso

G&D working paper no. 19: Gender Staffing in the CGIAR: Lessons Learned and Future Direction por CGIAR

Enlace del recurso

Web 2.0 Learning Opportunity held at ILRI: Ms. Tsehay Gashaw reports back por Gashaw, Tsehay

Enlace del recurso

PigRisk project and lessons learned from the ACIAR John Dillon Fellowship in Australia in 2014 por Hung Nguyen-Viet

Enlace del recurso