Search Results - "Phenotyping"

Near infrared spectroscopy models to predict sensory and texture traits of sweetpotato roots by Nantongo, J.S., Serunkuma, E., Davrieux, F., Nakitto, M., Burgos, G., Thomas, Z.F., Eduardo, P., Carey, T., Swankaert, J., Mwanga, R.O.M., Alamu, E.O., Ssali, R.T.

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Enviromic assembly increases accuracy and reduces costs of the genomic prediction for yield plasticity in maize by Costa-Neto, Germano, Crossa, José, Fritsche-Neto, Roberto

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Técnicas de imágenes en fitopatología by Alemandri, Vanina Maria, Cazon, Luis Ignacio, Ruiz Posse, Agustina María, Conforto, Erica Cinthia

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Phenotyping and genotyping of cassava F1 population (CTS family) for mapping drought tolerance QTLs based on RAD Sequencing 3704 by Bedoya-Moreno, María Alejandra, Bohorquez-Chaux, Adriana, Barrera-Enríquez, Vianey, Zhang, Xiaofei

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Implementation new tools and technologies in the AGG-Maize Project by Beyene, Yoseph

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Satellite imagery for high-throughput phenotyping in breeding plots by Pinto Espinosa, Francisco, Zaman-Allah, Mainassara, Reynolds, Matthew P., Schulthess, Urs

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Determining rapeseed lodging angles and types for lodging phenotyping using morphological traits derived from UAV images by Wang, Chufeng, Xu, Shijie, Yang, Chenghai, You, Yunhao, Zhang, Jian, Kuai, Jie, Xie, Jing, Zuo, Qingsong, Yan, Mingli, Du, Hai, Ma, Ni, Liu, Bin, You, Liangzhi, Wang, Tao, Wu, Hao

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Geographic-scale coffee cherry counting with smartphones and deep learning by Rivera Palacio, Juan Camilo, Bunn, Christian, Rahn, Eric, Little-Savage, Daisy, Schimidt, Paul, Ryo, Masahiro

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An improved phenotyping method for evaluation of yam (Dioscorea spp.) resistance to nematodes belonging to the genera meloidogyne and scutellonema by Kolombia, Y.A., Kumar, P.L., Lopez-Montes, A.J., Claudius-Cole, A.O., Maroya, N., Viaene, N., Bert, W., Coyne, D.L.

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Realizing the potential of plant genetic resources: the use of phenomics for genebanks by Ghamkhar, Kioumars, Hay, Fiona, Engbers, Marleen, Dempewolf, Hannes, Schurr, Ulrich

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Mapping of QTL associated with resistance to Cassava Brown Streak and Mosaic Diseases in outcrossing cassava cultivars locally cultivated in Tanzania by Masumba, E., Merwe, A. van der, Myburg, Z., Kapinga, F., Kasele, S., Kulembeka, H.P., Mkamilo, G.S., Rounsley, S., Prochnik, S.E., Kanju, E., Ferguson, Morag E.

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Methodology for avocado (Persea americana Mill.) orchard evaluation using different measurement technologies by Chumbimune Vivanco, Sheyla Yanett, Cárdenas Rengifo, Gloria Patricia, Saravia Navarro, David, Valqui Valqui, Lamberto, Salazar Coronel, Wilian, Arbizu Berrocal, Carlos Irvin

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Analysis of population structure and genetic diversity in a Southern African soybean collection based on single nucleotide polymorphism markers by Tsindi, A., Eleblu, J.S.Y., Gasura, E., Mushoriwa, H., Tongoona, P., Danquah, E., Mwadzingeni, L., Zikhali, M., Ziramba, E., Mabuyaye, G., Derera, J.

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NIRS Database on fresh blended yellow cassava for DM, HCN, TCC, TBC & cooking time at CIAT, Colombia by Tran, Thierry, Belalcazar Martinez, John Eiver

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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.

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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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Nitrogenous fertilizer reduces resistance but enhances tolerance to the brown planthopper in fast-growing, moderately resistant rice by Horgan, Finbarr G., de Freitas, Thais Fernanda S., Crisol-Martínez, Eduardo, Mundaca, Enrique A., Bernal, Carmencita C.

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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

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Optimal machine learning algorithms and UAV multispectral imagery for crop phenotypic trait estimation: a comprehensive review and meta-analysis by Ndour, Adama, Blasch, Gerald, Valente, João, Bisrat Gebrekidan, Sida, Tesfaye Shiferaw

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