Resultados de búsqueda - "learning"

Detection of subsurface bruises in plums using spectral imaging and deep learning with wavelength selection por Castillo-Gironés, Salvador, Van Bellenghem, R., Wouters, N., Munera, Sandra, Blasco, José, Saeys, W.

Materias: “…Deep learning…”
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Comparison Between Machine Learning Models for Yield Forecast in Cocoa Crops in Santander, Colombia por Lamos Díaz, Henry, Puentes Garzón, David Esteban, Zarate Caicedo, Diego Alejandro

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Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties por Delgadillo Durana, Diego A., Vargas García, Cesar A., Varón Ramíreza, Viviana M., Calderón, Francisco C., Montenegroa, Andrea C., Reyes Herreraa, Paula H.

“…Current approaches use mathematical and statistical techniques, avoiding machine learning frameworks. This proposal uses vis-NIRS in sugarcane soils and machine learning techniques such as three regression and six classification methods. …”
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Estimation of Water Stress in Potato Plants Using Hyperspectral Imagery and Machine Learning Algorithms por Duarte Carvajalino, Julio Martin, Silva Arero, Elías Alexander, Góez Vinasco, Gerardo Antonio, Torres Delgado, Laura Marcela, Ocampo Paez, Oscar Dubán, Castaño Marín, Angela María

“…We use hyperspectral imagery and state of the art machine learning algorithms: random decision forest, multilayer perceptron, convolutional neural networks, support vector machines, extreme gradient boost, and AdaBoost. …”
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Can Swedish beef production become profitable by learning from Canadian beef production? por Nyman, Sofia

“…One way to find cheaper solutions for Swedish beef production is to learn from beef producers in other countries and regions with similar natural conditions as Sweden. …”
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Non-naivety in a long-lived ungulate : learning effects of shooting moose calves? por Graf, Lukas

“…While not being a gregarious species, moose are expected to learn from non-lethal mortality when a female loses her calf to harvest. …”

Zoo visitor experience - perceived learning, knowledge and attitude at a wolf enclosure in Sweden por Evengård, Matilda

Materias: “…perceived learning…”

Global analysis of social learning's archetypes in natural resource management: understanding pathways of co-creation of knowledge por Bonatti, Michelle, Lana, Marcos, Medina, Leonardo, Chevelev, Paul, Baldivieso, Carla, Errismann, Carla, Gleich, Pia, Rodriguez, Tatiana, Eufemia, Luca, da Silva Rosa, Teresa, Borba, Juliano, Matavel, Custodio, Schlindwein, Sandro, Ison, Ray, Eisenack, Klaus, Hellin, Jon, Pacillo, Grazia, Vadez, Vincent, Bossuet, Jérôme, Dolinska, Aleksandra, Sieber, Stefan

Materias: “…social learning…”
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Precision enzyme discovery through targeted mining of metagenomic data por Ariaeenejad, Shohreh, Gharechahi, Javad, Foroozandeh Shahraki, Mehdi, Fallah Atanaki, Fereshteh, Han Jianlin, Ding, Xue-Zhi, Hildebrand, Falk, Bahram, Mohammad, Kavousi, Kaveh, Hosseini Salekdeh, Ghasem

Materias: “…learning…”
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Using UAV images and phenotypic traits to predict potato morphology and yield in Peru por Ccopi Trucios, Dennis, Ortega Quispe, Kevin, Castañeda Tinco, Italo, Rios Chavarria, Claudia, Enriquez Pinedo, Lucia, Patricio Rosales, Solanch, Ore Aquino, Zoila, Casanova Nuñez Melgar, David, Agurto Piñarreta, Alex Iván, Zúñiga López, Luz Noemí, Urquizo Barrera, Julio

Materias: “…Machine learning…”
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Household vulnerability and agricultural innovation uptake: Exploring linkages and interdipendences: impact assessment of the Seeds for Needs initiative in Bihar, India por Gotor, Elisabetta, Scafetti, Flavia, Pagnani, T., Paliwal, A., Caracciolo, Francesco

Materias: “…learning…”
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Gender and climate smart agriculture: Co-creating a learning agenda─Identifying effective communication products and strategies por CGIAR GENDER Impact Platform

Materias: “…learning…”
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Learning from cross country difference of female work participation in agriculture in the Eastern Gangetic Basin: The macro and micro connections por Sen, Sucharita

Materias: “…learning…”
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Learning to work as a farming family team: Farmer responses to a gender-inclusive approach to extension por Nema, Gloria

Materias: “…learning…”
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Comparison of UAV and SAR performance for crop type classification using machine learning algorithms: a case study of humid forest ecology experimental research site of west Africa por Duke, O.P., Alabi, T.R., Neeti, N., Adewopo, Julius

Materias: “…machine learning…”
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A successful, highly complex and technical virtual training workshop in Ethiopia represented a milestone in what is now possible with remote learning por CGIAR Platform for Big Data in Agriculture

Materias: “…learning…”
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Desarrollo de una aplicacion WEB para elegir sitios de plantacion para el Centro Internacional de la Papa utilizando un modelo de prediccion algoritmico MaxEnt por Peréz, I.O.

Materias: “…e-learning…”
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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

Materias: “…machine learning…”
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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.

Materias: “…machine learning…”
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Drivers of maize yield variability at household level in northern Ghana and Malawi por Gachoki, S., Muthoni, F.K.

Materias: “…machine learning…”
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