Results 11 to 20 of about 2,158 (165)

Agronomic characteristics associated with vegetation index measured by active sensors of the canopy in soybean
Características agronômicas associadas com índices de vegetação medidos por sensores ativos de dossel na cultura da soja

Semina: Ciências Agrárias, 2013
Soybean has always stood out for its economic importance in the national agricultural scenario with an increase in its cultivation throughout the Brazilian territory.
Edson Cristiano Groff, Marcos Rafael Nanni, Fabrício Pinheiro Povh, Everson Cezar   +3 more
doaj   +2 more sources

Dual Vegetation Index Analysis and Spatial Assessment in Kota Bharu, Kelantan using GIS and Remote Sensing [PDF]

BIO Web of Conferences
Vegetation serves as an indicator of environmental conditions in ecological classifications. In addition, vegetation index analysis can also benefit farmers and agricultural planners by optimising crop selection and irrigation practices.
Daliman Shaparas, Anak Michael Mary Jane, Rendra Pradnya Paramarta Raditya, Sukiyah Emi, Hadian Mohamad Sapari Dwi, Sulaksana Nana   +5 more
doaj   +2 more sources

Canopy reflectance spectra of wheat as related to crop yield, grain protein under different management practices

Journal of Agrometeorology, 2012
A field experiment was conducted during the winter season of 2010-2011 in a sandy loam soil at the Research Farm of the Indian Agricultural Research Institute, New Delhi, India to study the relationship of canopy reflectance with the yield and protein ...
S. PRADHAN, K.K. BANDYOPADHYAY, D. K. JOSHI   +2 more
doaj   +2 more sources

Investigation of the Detectability of Corn Smut Fungus (Ustilago maydis DC. Corda) Infection Based on UAV Multispectral Technology

Agronomy, 2023
Corn smut fungus (Ustilago maydis [DC.] Corda) is a globally widespread pathogen affecting both forage and sweet maize hybrids, with higher significance in sweet maize.
László Radócz, Atala Szabó, András Tamás, Árpád Illés, Csaba Bojtor, Péter Ragán, Attila Vad, Adrienn Széles, Endre Harsányi, László Radócz   +9 more
doaj   +2 more sources

Distinção de espécies de eucaliptode diferentes idades por meio de imagens TM/Landsat 5 [PDF]

Pesquisa Agropecuária Brasileira, 2016
Resumo: O objetivo deste trabalho foi avaliar a utilização de imagens do sensor TM/Landsat 5 na diferenciação de plantios comerciais de Eucalyptus dunnii e Eucalyptus urograndis com diferentes idades.
Laura Camila de Godoy Goergen, Ricardo de Vargas Kilca, Igor da Silva Narvaes, Matheus Nunes Silva, Emanuel Araújo Silva, Rudiney Soares Pereira, Marcos Adami   +6 more
doaj   +2 more sources

A Preliminary Study on the Use of Remote Sensing Techniques to Determine the Nutritional Status and Productivity of Oats on Spatially Variable Sandy Soils

Agronomy
Field studies and satellite imagery were conducted on an oat cultivation field located on sandy soil with significant spatial heterogeneity in southwestern Poland. Observations and field measurements were carried out during the BBCH growth stages 12, 31,
Aleksandra Franz, Józef Sowiński, Arkadiusz Głogowski, Wieslaw Fiałkiewicz   +3 more
doaj   +2 more sources

Multispectral UAV-Based Disease Identification Using Vegetation Indices for Maize Hybrids

Agriculture
In the future, the cultivation of maize will become more and more prominent. As the world’s demand for food and animal feeding increases, remote sensing technologies (RS technologies), especially unmanned aerial vehicles (UAVs), are developing more and ...
László Radócz, Csaba Juhász, András Tamás, Árpád Illés, Péter Ragán, László Radócz   +5 more
doaj   +2 more sources

Analysis of Mangrove Vegetation Index Using Landsat 8 Images in Dodinga Bay, West Halmahera [PDF]

Jurnal Ilmiah Platax
Mangrove vegetation can be easily recognized from remote-sensing satellite images compared to other terrestrial vegetation. The vegetation index is applied to the satellite images to highlight the aspect of vegetation density.
Simon I. Patty, Doni Nurdiansah, Marenda Pandu Rizqi, Nebuchadnezzar Akbar, Rikardo Huwae   +4 more
doaj   +2 more sources

Assessment of Vegetation Indices Derived by UAV Imagery for Durum Wheat Phenotyping under a Water Limited and Heat Stressed Mediterranean Environment [PDF]

Frontiers in Plant Science, 2017
There is growing interest for using Spectral Vegetation Indices (SVI) derived by Unmanned Aerial Vehicle (UAV) imagery as a fast and cost-efficient tool for plant phenotyping.
Angelos C. Kyratzis, Angelos C. Kyratzis, Dimitrios P. Skarlatos, George C. Menexes, Vasileios F. Vamvakousis, Andreas Katsiotis   +5 more
doaj   +2 more sources

Integrating Satellite and UAV Technologies for Maize Plant Height Estimation Using Advanced Machine Learning

AgriEngineering
The integration of aerial monitoring, utilizing both unmanned aerial vehicles (UAVs) and satellites, alongside sophisticated machine learning algorithms, has witnessed a burgeoning prevalence within contemporary agricultural frameworks.
Marcelo Araújo Junqueira Ferraz, Thiago Orlando Costa Barboza, Pablo de Sousa Arantes, Renzo Garcia Von Pinho, Adão Felipe dos Santos   +4 more
doaj   +2 more sources