Search Results - "machine"

Pixels to pasture: Using machine learning and multispectral remote sensing to predict biomass and nutrient quality in tropical grasslands by 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

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

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Paddy rice methane emissions across Monsoon Asia by 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

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

Subjects: “…machine learning…”
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Seasonal maize yield forecasting in South and East African countries using hybrid earth observation models by Kenduiywo, Benson Kipkemboi, Miller, Sara

Subjects: “…machine learning…”
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Design and Development of a Digital Platform for Soil Health Monitoring and Management by Patil, Mukund, Burry, Sukanya, Katakamsetti, Nagendra, Choudhari, Pushpajeet L., Perumal, Cuba, Gogumalla, Pranuthi, Rozario, Gilbert, Shaik, Jameeruddin, Rupavatharam, Srikanth

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

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

Subjects: “…Machine learning…”
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A scalable scheme to implement data-driven agriculture for small-scale farmers by Jiménez, Daniel, Delerce, Sylvain Jean, Dorado, Hugo Andres, Cock, James H., Muñoz, Luis Armando, Agamez, Alejandro, Jarvis, Andy

Subjects: “…machine learning…”
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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 by Conejo Rodriguez, Diego Felipe, Urban, Milan Oldřich, Santaella, Marcela, Gereda, Javier Mauricio, Contreras, Aquiles Darghan, Wenzl, Peter

Subjects: “…machine learning…”
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Mekong River Delta crop mapping using a machine learning approach by Ghosh, Surajit, Wellington, Michael, Holmatov, Bunyod

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

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

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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... by Conejo Rodriguez, F., Gonzalez Guzman, J., Ramirez, Gil J., Urban, Milan Oldřich, Wenzl, Peter

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

Subjects: “…machine learning…”
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Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review by Pokhariyal, Shweta, Patel, N. R., Govind, Ajit

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

Subjects: “…machine use…”
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Irrigation pumps and milling machines as insurance against rainfall and price risks in Nigeria by Takeshima, Hiroyuki, Yamauchi, Futoshi

Subjects: “…milling machine…”
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RGB Image Dataset of Urochloa Hybrids for High-Throughput Phenotyping and Artificial Intelligence Applications by Arrechea-Castillo, Darwin Alexis, Espitia Buitrago, Paula Andrea, Florian Vargas, David Alberto, Estupinan Arboleda, Ronald David, Velazquez Hernandez, Riquelmer, Camelo Munevar, Rodrigo Andres, Cardoso Arango, Juan Andres

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Machine learning approach for high-throughput phenolic antioxidant screening in black Rice germplasm collection based on surface FTIR by Herath, Achini, Tiozon, Rhowell Jr., Kretzschmar, Tobias, Sreenivasulu, Nese, Mahon, Peter, Butardo, Vito

Subjects: “…machine learning…”
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