Search Results - "machine learning"

Papua New Guinea: Systematic analysis of domestic production and world market shocks by Mukashov, Askar, Dorosh, Paul A., Schmidt, Emily, Thurlow, James

Subjects: “…machine learning…”
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Parametric and machine learning approaches to examine yield differences between control and treatment considering outliers and statistical biases: The case of insect resistant/herbicide tolerant (IR/HT) maize in Honduras by Falck-Zepeda, José B., Zambrano, Patricia, Sanders, Arie, Trabanino, Carlos Rogelio

Subjects: “…machine learning…”
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Implementing cloud computing for the digital mapping of agricultural soil properties from high resolution UAV multispectral imagery by Pizarro Carcausto, Samuel Edwin, Pricope, Narcisa G., Figueroa Venegas, Deyanira Antonella, Carbajal Llosa, Carlos Miguel, Quispe Huincho, Miriam Rocío, Vera Vilchez, Jesús Emilio, Alejandro Méndez, Lidiana Rene, Achallma Mendoza, Lino, González Tovar, Izamar Estrella, Salazar Coronel, Wilian, Loayza, Hildo, Cruz Luis, Juancarlos Alejandro, Arbizu Berrocal, Carlos Irvin

Subjects: “…Machine learning…”
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Can a history of crop rotations improve the prediction of soil organic carbon in the Andes? Integrating machine learning multi-annual crop classification as a proxy of soil management by Bueno, M., Loayza, H., Ninanya, J., Rinza, J., Briceño, P., Silva, L., Mestanza, C., Otiniano, R., Kreuze, Jan F., Ramirez, D.

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Predicting the chlorophyll content of maize over phenotyping as a proxy for crop health in smallholder farming systems by Brewer, K., Clulow, A.D., Sibanda, M., Gokool, S., Naiken, V., Mabhaudhi, Tafadzwanashe

Subjects: “…machine learning…”
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Climate variability and extremes impact on seasonal occurrence patterns of malaria cases in Senegal [Abstract only] by Jampani, Mahesh, Panjwani, Shweta, Ghosh, Surajit, Sambou, Mame Henriette Astou, Amarnath, Giriraj

Subjects: “…machine learning…”
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PROGRESS REPORT: Developing Data‑Driven Agronomic Recommendations for Site‑Specific Nutrient Management on Rice in Cambodia by Mabilangan, Abigail, Mkuhlani, Siyabusa, Saito, Kazuki

Subjects: “…machine learning…”
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Detection of Alternaria padwickii (Ganguly) M.B. Ellis in Rice Seeds Using Hyperspectral Imaging to Enhance Seed Health Assessment in Germplasm Exchange by Cortez, Camille Rae, Castellion, Martina, Catausan, Sheryl, Gentallan, Renerio Jr., Calayugan, Mark Ian, Mercado, Ma. Fatima O., Hay, Fiona R.

Subjects: “…machine learning…”
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Uso de machine learning y un sensor de reflectancia del dosel proximal para predecir biomasa y calidad nutricional en forrajes tropicales (Urochloa humidicola) by Camelo, Rodrigo Andres, Espitia Buitrago, Paula, Jauregui, Rosa

Subjects: “…machine learning…”
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Estimation of forage biomass in oat (Avena sativa) using agronomic variables through UAV multispectral imaging by Urquizo Barrera, Julio Cesar, Ccopi Trucios, Dennis, Ortega Quispe, Kevin, Castañeda Tinco, Italo, Patricio Rosales, Solanch, Passuni Huayta, Jorge, Figueroa Venegas, Deyanira, Enriquez Pinedo, Lucia, Ore Aquino, Zoila, Pizarro Carcausto, Samuel

Subjects: “…Machine learning…”
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Ecological niche modeling approach for assessing potential for expansion of irrigated rice under alternate wetting and drying method by CGIAR Research Program on Climate Change, Agriculture and Food Security

Subjects: “…machine learning…”
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Pollination supply models from a local to global scale by Giménez-García, Angel, Allen-Perkins, Alfonso, Bartomeus, Ignasi, Balbi, Stefano, Knapp, Jessica L., Hevia, Violeta, Woodcock, Ben Alex, Smagghe, Guy, Miñarro, Marcos, Eeraerts, Maxime, Colville, Jonathan F., Hipólito, Juliana, Cavigliasso, Pablo, Nates-Parra, Guiomar, Herrera, José M., Cusser, Sarah, Simmons, Benno I., Wolters, Volkmar, Jha, Shalene, Freitas, Breno M., Horgan, Finbarr G., Artz, Derek R., Sidhu, Sheena, Otieno, Mark, Boreux, Virginie, Biddinger, David J., Klein, Alexandra-Maria, Joshi, Neelendra K., Stewart, Rebecca I.A., Albrecht, Matthias, Nicholson, Charlie C., O’Reilly, Alison D., Crowder, David William, Burns, Katherine L.W., Nabaes Jodar, Diego Nicolás, Garibaldi, Lucas Alejandro, Sutter, Louis, Dupont, Yoko L., Dalsgaard, Bo, da Encarnação Coutinho, Jeferson Gabriel, Lázaro, Amparo, Andersson, Georg K.S., Raine, Nigel E., Krishnan, Smitha, Dainese, Matteo, van der Wer, Wopke, Smith, Henrik G., Magrach, Ainhoa

Subjects: “…pollination supply models, ecological intensification, global, pollinators, machine learning…”
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Robustness of the RGB image-based estimation for rice above-ground biomass by utilizing the dataset collected across multiple locations by Nakajima, Kota, Saito, Kazuki, Tsujimoto, Yasuhiro, Takai, Toshiyuki, Mochizuki, Atsushi, Yamaguchi, Tomoaki, Ibrahim, Ali, Mairoua, Salifou Goube, Andrianary, Bruce Haja, Katsura, Keisuke, Tanaka, Yu

Subjects: “…machine learning…”
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Technical report: Next-Generation decision support tool for data-driven fertilizer recommendations to enhance maize performance in Ethiopia by Mesfin, Tewodros, Abera, Wuletawu, Ebrahim, Mohammed, Tilaye, Amsalu, Tibebe, Degefie, Tamene, Lulseged, Adimassu, Zenebe, Liben, Feyera, Bekere, Jemal, Nazib, Nibras

Subjects: “…machine learning…”
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Detección de outliers en muestras de entrenamiento generadas mediante interpretación visual by Banchero, Santiago, Veron, Santiago Ramón, Petek, Mariana, Sarrailhe, Sofia, De Abelleyra, Diego

Subjects: “…Machine Learning…”
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Predicting infectious diseases: a bibliometric review on Africa by Phoobane, P., Masinde, M., Mabhaudhi, Tafadzwanashe

Subjects: “…machine learning…”
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Multiyear Maize management dataset collected in Chiapas, Mexico by Trevisan, Rodrigo G., Martin, Nicolas F., Fonteyne, Simon, Verhulst, Nele, Dorado Betancourt, Hugo Andres, Jiménez, Daniel, Gardeazábal Monsalve, Andrea

Subjects: “…machine learning…”
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Near real-time monitoring of cassava cultivation area by Phan, Trong Van, Reymondin, Louis, Vantalon, Thibaud, Delaquis, Erik, Nguyen, Thuy Thanh, Mienmany, Bandit

Subjects: “…machine learning…”
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Malawi: Systematic analysis of domestic production and world market shocks by Mukashov, Askar, Duchoslav, Jan, Kankwamba, Henry, Jones, Eleanor, Thurlow, James

Subjects: “…machine learning…”
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Kenya: Systematic analysis of domestic production and world market shocks by Mukashov, Askar, Mbuthia, Juneweenex, Omune, Lensa, Jones, Eleanor, Thurlow, James

Subjects: “…machine learning…”
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