Zobrazeno 1 - 10 of 399 pro vyhledávání: '"RGB indices"'
1
Akademický článek
Combining biophysical parameters with thermal and RGB indices using machine learning models for predicting yield in yellow rust affected wheat crop.
Autor: Singh, RN1,2 (AUTHOR), Krishnan, P.1 (AUTHOR) prameelakrishnan@yahoo.com, Singh, Vaibhav K.3 (AUTHOR), Sah, Sonam2 (AUTHOR), Das, B.4 (AUTHOR)
Publikováno v: Scientific Reports. 11/1/2023, Vol. 13 Issue 1, p1-17. 17p.
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2
Akademický článek
Combining biophysical parameters with thermal and RGB indices using machine learning models for predicting yield in yellow rust affected wheat crop
Autor: RN Singh, P. Krishnan, Vaibhav K. Singh, Sonam Sah, B. Das
Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract Evaluating crop health and forecasting yields in the early stages are crucial for effective crop and market management during periods of biotic stress for both farmers and policymakers. Field experiments were conducted during 2017–18 and 2
Externí odkaz: https://doaj.org/article/e1a0c65e0fa84e0aae47def1466ad90b
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3
Akademický článek
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4
Akademický článek
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5
Akademický článek
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6
Akademický článek
RGB Indices and Canopy Height Modelling for Mapping Tidal Marsh Biomass from a Small Unmanned Aerial System
Autor: Grayson R. Morgan, Cuizhen Wang, James T. Morris
Publikováno v: Remote Sensing, Vol 13, Iss 17, p 3406 (2021)
Coastal tidal marshes are essential ecosystems for both economic and ecological reasons. They necessitate regular monitoring as the effects of climate change begin to be manifested in changes to marsh vegetation healthiness. Small unmanned aerial sys
Externí odkaz: https://doaj.org/article/b6dc361459d04256a826a924f75178b0
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7
Akademický článek
Using Unmanned Aerial Vehicle and Ground-Based RGB Indices to Assess Agronomic Performance of Wheat Landraces and Cultivars in a Mediterranean-Type Environment
Autor: Rubén Rufo, Jose Miguel Soriano, Dolors Villegas, Conxita Royo, Joaquim Bellvert
Publikováno v: Remote Sensing, Vol 13, Iss 6, p 1187 (2021)
The adaptability and stability of new bread wheat cultivars that can be successfully grown in rainfed conditions are of paramount importance. Plant improvement can be boosted using effective high-throughput phenotyping tools in dry areas of the Medit
Externí odkaz: https://doaj.org/article/544a77b349ba43f9906a3ab9e0e595ae
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8
Akademický článek
Non-Destructive Prediction of Anthocyanin Content of Rosa chinensis Petals Using Digital Images and Machine Learning Algorithms
Autor: Xiu-Ying Liu, Jun-Ru Yu, Heng-Nan Deng
Publikováno v: Horticulturae, Vol 10, Iss 5, p 503 (2024)
Anthocyanins are widely found in plants and have significant functions. The accurate detection and quantitative assessment of anthocyanin content are essential to assess its functions. The anthocyanin content in plant tissues is typically quantified
Externí odkaz: https://doaj.org/article/4adb1778a7a6415587004efcc252ae87
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9
Using Unmanned Aerial Vehicle and Ground-Based RGB Indices to Assess Agronomic Performance of Wheat Landraces and Cultivars in a Mediterranean-Type Environment
Autor: José Miguel Soriano, Rubén Rufo, Joaquim Bellvert, Conxita Royo, Dolors Villegas
Publikováno v: IRTA Pubpro. Open Digital Archive
Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
Remote Sensing, Vol 13, Iss 1187, p 1187 (2021)
Remote Sensing
Volume 13
Issue 6
Pages: 1187
The adaptability and stability of new bread wheat cultivars that can be successfully grown in rainfed conditions are of paramount importance. Plant improvement can be boosted using effective high-throughput phenotyping tools in dry areas of the Medit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e31ae3be7592877bb057c91e8905318f
http://hdl.handle.net/20.500.12327/1351
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10
RGB Indices and Canopy Height Modelling for Mapping Tidal Marsh Biomass from a Small Unmanned Aerial System
Autor: James T. Morris, Cuizhen Wang, Grayson R. Morgan
Publikováno v: Remote Sensing, Vol 13, Iss 3406, p 3406 (2021)
Remote Sensing; Volume 13; Issue 17; Pages: 3406
Coastal tidal marshes are essential ecosystems for both economic and ecological reasons. They necessitate regular monitoring as the effects of climate change begin to be manifested in changes to marsh vegetation healthiness. Small unmanned aerial sys
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5306a54fbc14af2412bcb8e6f9c0e861
https://doi.org/10.3390/rs13173406
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