Search Results - "Buchaillot, Ma. Luisa"

Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques by Buchaillot, Ma Luisa, Gracia-Romero, Adrian, Vergara-Diaz, Omar, Zaman-Allah, Mainassara A, Tarekegne, Amsal, Cairns, Jill E, Prasanna, Boddupalli M, Araus, Jose Luis, Kefauver, Shawn C

“…Maize is the most cultivated cereal in Africa in terms of land area and production, but low soil nitrogen availability often constrains yields. Developing new…”
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Regional Monitoring of Fall Armyworm (FAW) Using Early Warning Systems by Buchaillot, Ma. Luisa, Cairns, Jill, Hamadziripi, Esnath, Wilson, Kenneth, Hughes, David, Chelal, John, McCloskey, Peter, Kehs, Annalyse, Clinton, Nicholas, Araus, José Luis, Kefauver, Shawn C.

“…The second United Nations Sustainable Development Goal (SDG2), zero hunger, aims to improve the productivity, food security, nutrition, and sustainability of…”
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Estimating peanut and soybean photosynthetic traits using leaf spectral reflectance and advance regression models by Buchaillot, Ma. Luisa, Soba, David, Shu, Tianchu, Liu, Juan, Aranjuelo, Iker, Araus, José Luis, Runion, G. Brett, Prior, Stephen A., Kefauver, Shawn C., Sanz-Saez, Alvaro

“…Main conclusion By combining hyperspectral signatures of peanut and soybean, we predicted V cmax and J max with 70 and 50% accuracy. The PLS was the model that…”
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Automatic Wheat Ear Counting Using Thermal Imagery by Fernandez-Gallego, Jose, Buchaillot, Ma, Aparicio Gutiérrez, Nieves, Nieto-Taladriz, María, Araus, José, Kefauver, Shawn

“…Ear density is one of the most important agronomical yield components in wheat. Ear counting is time-consuming and tedious as it is most often conducted…”
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Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review by Berger, Katja, Machwitz, Miriam, Kycko, Marlena, Kefauver, Shawn C., Van Wittenberghe, Shari, Gerhards, Max, Verrelst, Jochem, Atzberger, Clement, van der Tol, Christiaan, Damm, Alexander, Rascher, Uwe, Herrmann, Ittai, Paz, Veronica Sobejano, Fahrner, Sven, Pieruschka, Roland, Prikaziuk, Egor, Buchaillot, Ma. Luisa, Halabuk, Andrej, Celesti, Marco, Koren, Gerbrand, Gormus, Esra Tunc, Rossini, Micol, Foerster, Michael, Siegmann, Bastian, Abdelbaki, Asmaa, Tagliabue, Giulia, Hank, Tobias, Darvishzadeh, Roshanak, Aasen, Helge, Garcia, Monica, Pôças, Isabel, Bandopadhyay, Subhajit, Sulis, Mauro, Tomelleri, Enrico, Rozenstein, Offer, Filchev, Lachezar, Stancile, Gheorghe, Schlerf, Martin

“…Remote detection and monitoring of the vegetation responses to stress became relevant for sustainable agriculture. Ongoing developments in optical remote…”
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Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems by Buchaillot, Ma. Luisa, Cairns, Jill, Hamadziripi, Esnath, Wilson, Kenneth, Hughes, David, Chelal, John, McCloskey, Peter, Kehs, Annalyse, Clinton, Nicholas, Cressman, Keith, Araus, Jose Luis, Kefauver, Shawn C.

“…Fall armyworm (FAW) is a polyphagus pest with a preference for young maize leaves that relocates to the cob during cob development and can devastate maize…”
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Open-Source Software for Crop Physiological Assessments Using High Resolution RGB Images by Kefauver, Shawn C., Romero, Adrian Gracia, Buchaillot, Ma. Luisa, Vergara-Diaz, Omar, Fernandez-Gallego, Jose A., El-Haddad, Georges, Akl, Alexi, Araus, Jose Luis

“…The state-of-the-art on the use of commercially available consumer color digital cameras, which capture Red, Green and Blue light covering the visible spectrum…”
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Sentinel-2 Responsiveness to Fertilization Gradients in Wheat at Field Level in Córdoba Province, Argentina by Segarra, Joel, Buchaillot, Ma. Luisa, Stefani, Ulises, Araus, Jose Luis, Kefauver, Shawn C.

“…A different top-dressing fertilization gradient was applied to four separate study areas across a wheat field in Córdoba, Argentina. Sentine1-2 derived…”
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Framework for deep learning diagnosis of plant disorders in horticultural crops: From data collection tools to user-friendly web and mobile apps by Buchaillot, Ma. Luisa, Fernandez-Gallego, Jose A., Thushar, Sumitha, Aljanaahi, Amna Abdulnoor, Kosimov, Sherzod, Hammami, Zied, Al Jabri, Ghazi, Mahmoudi, Henda, Puente, Alexandra La Cruz, Akl, Alexi, Trillas, M. Isabel, Araus, Jose Luis, Kefauver, Shawn C.

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Quantification of Pinus pinea L. Pinecone Productivity Using Machine Learning of UAV and Field Images by Shawn C. Kefauver, Ma. Luisa Buchaillot, Joel Segarra, Jose Armando Fernandez Gallego, Jose Luis Araus, Xavier Llosa, Mario Beltrán, Míriam Piqué

“…Currently, for Pinus pinea L., a valuable Mediterranean forest species in Catalonia, Spain, pinecone production is quantified visually before harvest with a…”
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