Zobrazeno 1 - 10 of 40 pro vyhledávání: '"Crusiol LGT"'
1
Akademický článek
Assessing soil CO 2 emission on eucalyptus species using UAV-based reflectance and vegetation indices.
Autor: Rossi FS; PPG-Ciência do Solo, State University of São Paulo (UNESP), Jaboticabal, 15385-000, Brazil., Della-Silva JL; PPG-Bionorte, State University of Mato Grosso (UNEMAT), Sinop, 78550-000, Brazil., Teodoro LPR; Federal University of Mato Grosso do Sul (UFMS), Chapadão do Sul, 79560-000, Brazil., Teodoro PE; Federal University of Mato Grosso do Sul (UFMS), Chapadão do Sul, 79560-000, Brazil. eduteodoro@hotmail.com., Santana DC; Federal University of Mato Grosso do Sul (UFMS), Chapadão do Sul, 79560-000, Brazil., Baio FHR; Federal University of Mato Grosso do Sul (UFMS), Chapadão do Sul, 79560-000, Brazil., Morinigo WB; PPGCAM, Federal University of Mato Grosso (UFMT), Sinop, 78555000, Brazil., Crusiol LGT; National Soybean Research Center (Embrapa Soja), Brazilian Agricultural Research Corporation, Londrina, 86001-970, Brazil., La Scala N Jr; PPG-Ciência do Solo, State University of São Paulo (UNESP), Jaboticabal, 15385-000, Brazil., da Silva CA Jr; Department of Geography, State University of Mato Grosso (UNEMAT), Sinop, Mato Grosso, 78555000, Brazil.
Publikováno v: Scientific reports [Sci Rep] 2024 Aug 31; Vol. 14 (1), pp. 20277. Date of Electronic Publication: 2024 Aug 31.
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2
Akademický článek
Chemometric Analysis for the Prediction of Biochemical Compounds in Leaves Using UV-VIS-NIR-SWIR Hyperspectroscopy.
Autor: Falcioni R; Graduate Program in Agronomy, Department of Agronomy, State University of Maringá, Av. Colombo 5790, Maringá 87020-900, PR, Brazil., Gonçalves JVF; Graduate Program in Agronomy, Department of Agronomy, State University of Maringá, Av. Colombo 5790, Maringá 87020-900, PR, Brazil., de Oliveira KM; Graduate Program in Agronomy, Department of Agronomy, State University of Maringá, Av. Colombo 5790, Maringá 87020-900, PR, Brazil., de Oliveira CA; Graduate Program in Agronomy, Department of Agronomy, State University of Maringá, Av. Colombo 5790, Maringá 87020-900, PR, Brazil., Reis AS; Graduate Program in Agronomy, Department of Agronomy, State University of Maringá, Av. Colombo 5790, Maringá 87020-900, PR, Brazil., Crusiol LGT; Embrapa Soja (National Soybean Research Centre-Brazilian Agricultural Research Corporation), Londrina 86001-970, PR, Brazil., Furlanetto RH; Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL 32611, USA., Antunes WC; Graduate Program in Agronomy, Department of Agronomy, State University of Maringá, Av. Colombo 5790, Maringá 87020-900, PR, Brazil., Cezar E; Department of Agricultural and Earth Sciences, University of Minas Gerais State, Passos 37902-108, MG, Brazil., de Oliveira RB; Graduate Program in Agronomy, Department of Agronomy, State University of Maringá, Av. Colombo 5790, Maringá 87020-900, PR, Brazil., Chicati ML; Graduate Program in Agronomy, Department of Agronomy, State University of Maringá, Av. Colombo 5790, Maringá 87020-900, PR, Brazil., Demattê JAM; Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Av. Pádua Dias 11, Piracicaba 13418-260, SP, Brazil., Nanni MR; Graduate Program in Agronomy, Department of Agronomy, State University of Maringá, Av. Colombo 5790, Maringá 87020-900, PR, Brazil.
Publikováno v: Plants (Basel, Switzerland) [Plants (Basel)] 2023 Sep 28; Vol. 12 (19). Date of Electronic Publication: 2023 Sep 28.
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3
Akademický článek
Non-Invasive Assessment, Classification, and Prediction of Biophysical Parameters Using Reflectance Hyperspectroscopy.
Autor: Falcioni R; Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, Paraná, Brazil., Santos GLAAD; Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, Paraná, Brazil., Crusiol LGT; Embrapa Soja (National Soybean Research Center-Brazilian Agricultural Research Corporation), Rodovia Carlos João Strass, s/nº, Distrito de Warta, Londrina 86001-970, Paraná, Brazil., Antunes WC; Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, Paraná, Brazil., Chicati ML; Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, Paraná, Brazil., Oliveira RB; Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, Paraná, Brazil., Demattê JAM; Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Av. Pádua Dias, 11, Piracicaba 13418-260, São Paulo, Brazil., Nanni MR; Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, Paraná, Brazil.
Publikováno v: Plants (Basel, Switzerland) [Plants (Basel)] 2023 Jul 02; Vol. 12 (13). Date of Electronic Publication: 2023 Jul 02.
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4
Akademický článek
The spatiotemporal change of cropland and its impact on vegetation dynamics in the farming-pastoral ecotone of northern China.
Autor: Wuyun D; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/CAAS-CIAT Joint Laboratory in Advanced Technologies for Sustainable Agriculture-Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Inner Mongolia Academy of Agricultural & Animal Husbandry Science, Institute of Rural Economic and Information, Hohhot 010030, China., Sun L; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/CAAS-CIAT Joint Laboratory in Advanced Technologies for Sustainable Agriculture-Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China. Electronic address: sunliang@caas.cn., Chen Z; Digitalization and Informatics Division, Food and Agricultural Organization of the United Nations, Terme Caracalla, 00153 Rome, Italy., Hou A; Inner Mongolia Academy of Agricultural & Animal Husbandry Science, Institute of Rural Economic and Information, Hohhot 010030, China., Crusiol LGT; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/CAAS-CIAT Joint Laboratory in Advanced Technologies for Sustainable Agriculture-Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Department of Agronomy, State University of Maringá, Maringá, PR 87020-900, Brazil., Yu L; Inner Mongolia Academy of Agricultural & Animal Husbandry Science, Institute of Rural Economic and Information, Hohhot 010030, China., Chen R; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/CAAS-CIAT Joint Laboratory in Advanced Technologies for Sustainable Agriculture-Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China., Sun Z; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/CAAS-CIAT Joint Laboratory in Advanced Technologies for Sustainable Agriculture-Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Publikováno v: The Science of the total environment [Sci Total Environ] 2022 Jan 20; Vol. 805, pp. 150286. Date of Electronic Publication: 2021 Sep 11.
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5
Akademický článek
Remote sensing imagery to predict soybean yield: a case study of vegetation indices contribution.
Autor: Amaral, Lucas R.1 (AUTHOR) lucas.amaral@feagri.unicamp.br, Oldoni, Henrique2 (AUTHOR), Baptista, Gustavo M. M.3 (AUTHOR), Ferreira, Gustavo H. S.4 (AUTHOR), Freitas, Rodrigo G.1 (AUTHOR), Martins, Cenneya L.1 (AUTHOR), Cunha, Isabella A.1 (AUTHOR), Santos, Adão F.5 (AUTHOR)
Publikováno v: Precision Agriculture. Oct2024, Vol. 25 Issue 5, p2375-2393. 19p.
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7
Akademický článek
Multimodal deep learning-based drought monitoring research for winter wheat during critical growth stages.
Autor: Yao, Jianbin1 (AUTHOR) yaojbin@163.com, Wu, Yushu1 (AUTHOR), Liu, Jianhua1 (AUTHOR), Wang, Hansheng1 (AUTHOR)
Publikováno v: PLoS ONE. 5/9/2024, Vol. 19 Issue 5, p1-16. 16p.
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8
Akademický článek
Chemical management of Phakopsora pachyrhizi: Effect on incidence, severity, and yield in soybean.
Autor: FELIPE-VICTORIANO, Moisés1 felipe.moises@inifap.gob.mx, L. ARISPE-VAZQUEZ, José2 arispe.jose@inifap.gob.mx, SANTIS-SANTIS, Martha3 santissantism@gmail.com, MÉNDEZ-AGUILAR, Reinaldo1 mendez.reinaldo@inifap.gob.mx, A. ESPINOZA-AHUMADA, César4 caespinoza@itsmante.edu.mx, DELGADO-LUNA, Carolina5 delgado.carolina@inifap.gob.mx, ZÁRATE-MARTÍNEZ, William6 zarate.william@inifap.gob.mx, PATISHTAN-PÉREZ, Juan1 patishtan.juan@inifap.gob.mx
Publikováno v: Notulae Botanicae Horti Agrobotanici Cluj-Napoca. Apr-Jun2024, Vol. 52 Issue 2, p1-13. 13p.
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9
Akademický článek
Enhancing direct-seeded rice yield prediction using UAV-derived features acquired during the reproductive phase.
Autor: Yang, Guodong1 (AUTHOR), Li, Yaxing2 (AUTHOR), Yuan, Shen1 (AUTHOR), Zhou, Changzai1 (AUTHOR), Xiang, Hongshun1 (AUTHOR), Zhao, Zhenqing2 (AUTHOR), Wei, Qiaorong2 (AUTHOR), Chen, Qingshan2 (AUTHOR), Peng, Shaobing1 (AUTHOR), Xu, Le1,2 (AUTHOR) xule@neau.edu.cn
Publikováno v: Precision Agriculture. Apr2024, Vol. 25 Issue 2, p1014-1037. 24p.
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10
Akademický článek
Machine learning as a tool to predict potassium concentration in soybean leaf using hyperspectral data.
Autor: Furlanetto, Renato Herrig1 (AUTHOR) renatohfurlanetto@hotmail.com, Crusiol, Luís Guilherme Teixeira2 (AUTHOR), Gonçalves, João Vitor Ferreira1 (AUTHOR), Nanni, Marcos Rafael1 (AUTHOR), de Oliveira Junior, Adilson2 (AUTHOR), de Oliveira, Fábio Alvares2 (AUTHOR), Sibaldelli, Rubson Natal Ribeiro2 (AUTHOR)
Publikováno v: Precision Agriculture. Dec2023, Vol. 24 Issue 6, p2264-2292. 29p.
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