Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Anton Terentev"'
Autor:
Anton Terentev, Viktor Dolzhenko
Publikováno v:
Sensors, Vol 23, Iss 12, p 5366 (2023)
The various areas of ultra-sensitive remote sensing research equipment development have provided new ways for assessing crop states. However, even the most promising areas of research, such as hyperspectral remote sensing or Raman spectrometry, have
Externí odkaz:
https://doaj.org/article/1e9e80aa6e35438b9b3de1daac88d3ae
Autor:
Anton Terentev, Vladimir Badenko, Ekaterina Shaydayuk, Dmitriy Emelyanov, Danila Eremenko, Dmitriy Klabukov, Alexander Fedotov, Viktor Dolzhenko
Publikováno v:
Agriculture, Vol 13, Iss 6, p 1186 (2023)
Early crop disease detection is one of the most important tasks in plant protection. The purpose of this work was to evaluate the early wheat leaf rust detection possibility using hyperspectral remote sensing. The first task of the study was to choos
Externí odkaz:
https://doaj.org/article/69681b36c302463a8fb8c72e47488500
Publikováno v:
Insects, Vol 14, Iss 3, p 271 (2023)
The ecological plasticity of aphid populations is determined by their clonal and morphotypic diversity. Clones will be successful when the development of their component morphotypes is optimized. The purpose of this work was to reveal the peculiariti
Externí odkaz:
https://doaj.org/article/d6afb978be51453cb2c19364bb986e59
Publikováno v:
Agronomy, Vol 12, Iss 12, p 3214 (2022)
Invasive weeds of the Asteraceae family are widespread in the world. Arbuscular mycorrhiza (AM) is one of the main factors contributing to the successful distribution of these species that is most clearly manifested in the subfamily Asteroideae. The
Externí odkaz:
https://doaj.org/article/c673f68af0de4910bc56c8c344583cad
Publikováno v:
Sensors, Vol 22, Iss 3, p 757 (2022)
The development of hyperspectral remote sensing equipment, in recent years, has provided plant protection professionals with a new mechanism for assessing the phytosanitary state of crops. Semantically rich data coming from hyperspectral sensors are
Externí odkaz:
https://doaj.org/article/99dc8db35c80465eaa4382fc110bc4eb
Autor:
Dolzhenko, Anton Terentev, Vladimir Badenko, Ekaterina Shaydayuk, Dmitriy Emelyanov, Danila Eremenko, Dmitriy Klabukov, Alexander Fedotov, Viktor
Publikováno v:
Agriculture; Volume 13; Issue 6; Pages: 1186
Early crop disease detection is one of the most important tasks in plant protection. The purpose of this work was to evaluate the early wheat leaf rust detection possibility using hyperspectral remote sensing. The first task of the study was to choos
Publikováno v:
BIO Web of Conferences, Vol 18, p 00015 (2020)
A new technology for the detection and chemical treatment of the Sosnowski hogweed using neural networks and ground and air robotic systems was tested. Confirmation is obtained of the possibility of detecting invasive weeds and their state using sate
Publikováno v:
BIO Web of Conferences, Vol 18, p 00002 (2020)
In the context of changing political, socio-economic, natural and climatic conditions, there is a need for effective tools to manage agricultural activities. Such tools are digital farming systems, which are a set of interconnected agrotechnical, rec