Resultados de búsqueda - "Machining."

Potenciando la investigación agrícola con modelos de inteligencia artificial por Ruiz-Hurtado, Andres Felipe

Materias: “…machine learning…”
Enlace del recurso

Predicting high-magnitude, low-frequency crop losses using machine learning: An application to cereal crops in Ethiopia por Mann, Michael L., Warner, James, Malik, Arun S.

Materias: “…machine learning…”
Enlace del recurso

Pixels to pasture: Using machine learning and multispectral remote sensing to predict biomass and nutrient quality in tropical grasslands por Zwick, Mike, Cardoso, Juan Andres, Gutiérrez-Zapata, Diana María, Cerón-Muñoz, Mario, Gutiérrez, Jhon Freddy, Raab, Christoph, Jonsson, Nicholas, Escobar, Miller, Roberts, Kenny, Barrett, Brian

Materias: “…machine learning…”
Enlace del recurso

Early detection of plant virus infection using multispectral imaging and machine learning por Grieve, B., Duffy, S., Dallas, M. M., Ascencio‑Ibanez, J. T., Alonso-Chavez, V., Legg, J., Hanley-Bowdoin, L., Yin, H.

Materias: “…machine learning…”
Enlace del recurso

Paddy rice methane emissions across Monsoon Asia por Ouyang, Zutao, Jackson, Robert B., McNicol, Gavin, Fluet-Chouinard, Etienne, Runkle, Benjamin R.K., Papale, Dario, Knox, Sara H., Cooley, Sarah, Delwiche, Kyle B., Feron, Sarah, Irvin, Jeremy Andrew, Malhotra, Avni, Muddasir, Muhammad, Sabbatini, Simone, Alberto, Ma. Carmelita R., Cescatti, Alessandro, Chen, Chi-Ling, Dong, Jinwei, Fong, Bryant N., Guo, Haiqiang, Hao, Lu, Iwata, Hiroki, Jia, Qingyu, Ju, Weimin, Kang, Minseok, Li, Hong, Kim, Joon, Reba, Michele L., Nayak, Amaresh Kumar, Roberti, Debora Regina, Ryu, Youngryel, Swain, Chinmaya Kumar, Tsuang, Benjei, Xiao, Xiangming, Yuan, Wenping, Zhang, Geli, Zhang, Yongguang

Materias: “…machine learning…”
Enlace del recurso

A new adaptive identification strategy of best crop management with farmers por Gautron, Romain, Baudry, Dorian, Adam, Myriam, Falconnier, Gatien N., Hoogenboom, Gerrit, King, Brian, Corbeels, Marc

Materias: “…machine learning…”
Enlace del recurso

Seasonal maize yield forecasting in South and East African countries using hybrid earth observation models por Kenduiywo, Benson Kipkemboi, Miller, Sara

Materias: “…machine learning…”
Enlace del recurso

Design and Development of a Digital Platform for Soil Health Monitoring and Management por Patil, Mukund, Burry, Sukanya, Katakamsetti, Nagendra, Choudhari, Pushpajeet L., Perumal, Cuba, Gogumalla, Pranuthi, Rozario, Gilbert, Shaik, Jameeruddin, Rupavatharam, Srikanth

Materias: “…machine learning…”
Enlace del recurso

Irrigation scheduling using complex machine scheduling por Vries, T.T. de, Anwar, Arif A.

Materias: “…machine learning…”
Enlace del recurso

Mango varietal discrimination using hyperspectral imaging and machine learning por Castro, Wilson, Tene, Baldemar, Castro, Jorge, Guivin, Alex, Ruesta Campoverde, Nelson Asdrubal, Avila George, Himer

Materias: “…Machine learning…”
Enlace del recurso
Enlace del recurso

A scalable scheme to implement data-driven agriculture for small-scale farmers por Jiménez, Daniel, Delerce, Sylvain Jean, Dorado, Hugo Andres, Cock, James H., Muñoz, Luis Armando, Agamez, Alejandro, Jarvis, Andy

Materias: “…machine learning…”
Enlace del recurso

Using phenomics to identify and integrate traits of interest for better-performing common beans: A validation study on an interspecific hybrid and its Acutifolii parents por Conejo Rodriguez, Diego Felipe, Urban, Milan Oldřich, Santaella, Marcela, Gereda, Javier Mauricio, Contreras, Aquiles Darghan, Wenzl, Peter

Materias: “…machine learning…”
Enlace del recurso

Mekong River Delta crop mapping using a machine learning approach por Ghosh, Surajit, Wellington, Michael, Holmatov, Bunyod

Materias: “…machine learning…”
Enlace del recurso

Predicting Wheat Yield Gap and its Determinants in Rainfed Mediterranean Climate of Morocco: Using Ground Information, Satellite Images and Machine Learning por Devkota, Krishna, Devkota Wasti, Mina Kumari, Bouasria, Abdelkrim

Materias: “…machine learning…”
Enlace del recurso

Operations research and machine learning to manage risk and optimize production practices in agriculture: good and bad experience por Cock, James H., Jiménez, Daniel, Dorado, Hugo, Oberthür, Thomas

Materias: “…machine learning…”
Enlace del recurso

Digital functional phenomic descriptors featured from machine learning-driven image-based phenotyping improve the accuracy of classic descriptors: A case study on Arachis spp. and... por Conejo Rodriguez, F., Gonzalez Guzman, J., Ramirez, Gil J., Urban, Milan Oldřich, Wenzl, Peter

Materias: “…machine learning…”
Enlace del recurso

Machine learning methods in near infrared spectroscopy for predicting sensory traits in sweetpotatoes por Nantongo, J.S., Serunkuma, E., Burgos, C., Nakitto, M., Davrieux, F., Ssali, R.T.

Materias: “…machine learning…”
Enlace del recurso

Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review por Pokhariyal, Shweta, Patel, N. R., Govind, Ajit

Materias: “…machine learning…”
Enlace del recurso

Factor endowments, wage growth, and changing food self-sufficiency: Evidence from country-level panel data por Otsuka, Keijiro, Liu, Yanyan, Yamauchi, Futoshi

Materias: “…machine use…”
Enlace del recurso

Irrigation pumps and milling machines as insurance against rainfall and price risks in Nigeria por Takeshima, Hiroyuki, Yamauchi, Futoshi

Materias: “…milling machine…”
Enlace del recurso