Search Results - "learning"

Designing STIBs and ToC Frameworks for Learning Labs by Jain, Harsha, Chadha, Deepali, Gartaula, Hom N., Mukhopadhyay, Prama, Goel, Kritika, Dwevedi, Anusha, Shivhare, Richa, Puskur, Ranjitha

Subjects: “…learning labs…”
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Mechanisms for increasing the accountability of teachers and schools in rural Pakistan to improve learning outcomes by Asad, Saher, Habib, Masooma, Karachiwalla, Naureen, Kosec, Katrina, Leaver, Clare, ur Rehman, Attique

Subjects: “…learning…”
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Reforming educator accountability systems: Evidence from Pakistan by Asad, Saher, Habib, Masooma, Karachiwalla, Naureen, Kosec, Katrina, Leaver, Clare, ur Rehman, Attique

Subjects: “…learning…”
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Farmers' co-learning for effective agroforestry and improved animal welfare in Humbo District, Ethiopia by Berhe, Tsega, Gelan, Eyob, Mokria, Mulugeta, Alemayehu, Gezahegn, Doyle, Rebecca

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

Subjects: “…machine learning…”
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Prediction of spatial heterogeneity in nutrient-limited sub-tropical maize yield: Implications for precision management in the eastern Indo-Gangetic Plains by 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.

Subjects: “…machine learning…”
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An XGBoost approach to predictive modelling of Rift Valley fever outbreaks in Kenya using climatic factors by Mulwa, D., Kazuzuru, B., Misinzo, G., Bett, Bernard K.

Subjects: “…machine learning…”
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Color and Grey-Level Co-Occurrence Matrix Analysis for Predicting Sensory and Biochemical Traits in Sweet Potato and Potato by Nantongo, J.S., Serunkuma, E., Burgos, G., Nakitto, M., Kitalikyawe, J., Mendes, T., Davrieux, F., Ssali, R.T.

Subjects: “…machine learning…”
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High-resolution crop-type mapping in northern Ghana by Alabi, T., Muthoni, F., Uponi, J., Alabi, W., Oluwaleye, J.

Subjects: “…machine learning…”
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Soybean rust early warning system in East and Southern Africa by Gachoki, S., Muthoni, F., Mureithi, H., Tripathi, L.

Subjects: “…machine learning…”
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Mapping aflatoxin risk using machine learning and remote sensing in East and Southern Africa by Gachoki, S., Muthoni, F., Mahuku, G., Atehnkeng, J., Njeru, N., Kamau, J., Tripathi, L.

Subjects: “…machine learning…”
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EasyIDP: A python package for intermediate data processing in UAV-based plant phenotyping by Wang, Haozhou, Duan, Yulin, Shi, Yun, Kato, Yoichiro, Ninomiya, Seishi, Guo, Wei

Subjects: “…machine learning…”
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Machine Learning Approach for Prediction of Area Under Cultivation and Production for Vegetatively Propagated Crops by Ahishakiye, E., Ogero, K., Namada, S., Rajendran, S.

Subjects: “…machine learning…”
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Mature products & assets: AGROTUTOR by Excellence in Agronomy

Subjects: “…machine learning…”
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Ukama Ustawi’s Learning Alliance: scoping study - final report by Kumwenda, H., Kakuwa, B., Odeke, M., Podisi, B., Nohayi, Ngowenani

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

Subjects: “…machine learning…”
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Fine-tuned AI for tracking policy demands and studies by Yego, Francis, Song, Chun, Laporte, Marie-Angelique

Subjects: “…machine learning…”
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Which machine learning algorithm is best suited for estimating reference evapotranspiration in humid subtropical climate? by Deb, P., Kumar, V., Urfels, A., Lautze, Jonathan F., Kamboj, B. R., Sharma, J. R., Yadav, S.

Subjects: “…machine learning…”
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Machine learning approach to predicting Rift Valley fever disease outbreaks in Kenya by Mulwa, D., Kazuzuru, B., Misinzo, G., Bett, Bernard K.

Subjects: “…machine learning…”
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Farmers agronomic management responses to extreme drought and rice yields in Bihar, India by 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.

Subjects: “…machine learning…”
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