Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Naser Davatgar"'
Publikováno v:
AgriEngineering, Vol 5, Iss 1, Pp 40-64 (2022)
The demand for high quality and low-cost spatial distribution information of soil texture classes (STCs) is of great necessity in developing countries. This paper explored digital mapping of topsoil STCs using soil fractions, terrain attributes and a
Externí odkaz:
https://doaj.org/article/d7ec6fc114b747a583c1b5396a900e9f
Publikováno v:
Eurasian Journal of Soil Science, Vol 10, Iss 2, Pp 171-178 (2021)
One of the approaches for increasing of yield and reduction of rice production costs is precision agriculture. Complete and correct determination of nutrition status of paddy soils is necessary in precise agriculture. To compare fuzz y and Boolean me
Externí odkaz:
https://doaj.org/article/6103c0f1813d4b5795f09d6da588dc7a
Autor:
Sina Mallah, Manouchehr Gorji, Mohammad Reza Balali, Hossein Asadi, Naser Davatgar, Hojjat Varmazyari, Anna Maria Stellacci, Mirko Castellini
Publikováno v:
Land, Vol 12, Iss 5, p 979 (2023)
Recently, the demand for high-quality land use/land cover (LULC) information for near-real-time crop type mapping, in particular for multi-relief landscapes, has increased. While the LULC classes are inherently imbalanced, the statistics generally ov
Externí odkaz:
https://doaj.org/article/d72f469fd1cb4004bde42e6cf6d9a9ba
Autor:
Sina Mallah, Bahareh Delsouz Khaki, Naser Davatgar, Thomas Scholten, Alireza Amirian-Chakan, Mostafa Emadi, Ruth Kerry, Amir Hosein Mosavi, Ruhollah Taghizadeh-Mehrjardi
Publikováno v:
Agronomy, Vol 12, Iss 11, p 2613 (2022)
Soil provides a key interface between the atmosphere and the lithosphere and plays an important role in food production, ecosystem services, and biodiversity. Recently, demands for applying machine learning (ML) methods to improve the knowledge and u
Externí odkaz:
https://doaj.org/article/5f95e7e38209492eb9a113d4278ee580
Autor:
Ebrahim Asadi Oskouei, Bahareh Delsouz Khaki, Saeedeh Kouzegaran, Mir Naser Navidi, Masoud Haghighatd, Naser Davatgar, Ernesto Lopez-Baeza
Publikováno v:
Remote Sensing, Vol 14, Iss 11, p 2632 (2022)
Climate plays a key role in ecosystem services. Understanding microclimate change can be a significant help in making the right decision for ecosystems and buffering the effects of global warming. Given the large distances between meteorological stat
Externí odkaz:
https://doaj.org/article/4f7f3554628145328cb8f62a4add2147
Autor:
Ruhollah Taghizadeh-Mehrjardi, Karsten Schmidt, Alireza Amirian-Chakan, Tobias Rentschler, Mojtaba Zeraatpisheh, Fereydoon Sarmadian, Roozbeh Valavi, Naser Davatgar, Thorsten Behrens, Thomas Scholten
Publikováno v:
Remote Sensing, Vol 12, Iss 7, p 1095 (2020)
Understanding the spatial distribution of soil organic carbon (SOC) content over different climatic regions will enhance our knowledge of carbon gains and losses due to climatic change. However, little is known about the SOC content in the contrastin
Externí odkaz:
https://doaj.org/article/85115f9d0d1e46b2afcc312307bd6cec
Autor:
Mojtaba Rezaee, Naser Davatgar, Mohammadreza Khaledian, Afshin Ashrafzadeh, Masood Kavoosi, Mohsen Zavareh
Publikováno v:
علوم و مهندسی آبیاری, Vol 36, Iss 1, Pp 81-88 (2012)
The aim of this study is to assess the consequences of coincidence of water and salinity stress on yield of a popular local rice variety. A factorial pot experiment using a randomized complete blocks design with three replications was carried out at
Externí odkaz:
https://doaj.org/article/8b854d35231a4925afacf9eb307c527b
Publikováno v:
Irrigation and Drainage. 71:1268-1279
Publikováno v:
Archives of Agronomy and Soil Science. 69:1454-1469
Publikováno v:
Paddy and Water Environment. 20:265-276