Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Saeid Soufizadeh"'
Autor:
Elahe Akbari, Ali Darvishi Boloorani, Jochem Verrelst, Stefano Pignatti, Najmeh Neysani Samany, Saeid Soufizadeh, Saeid Hamzeh
Publikováno v:
Frontiers in Agronomy, Vol 6 (2024)
IntroductionAquaCrop is a water-driven crop growth model that simulates aboveground biomass production in croplands. This study aimed to identify the driving parameters of the AquaCrop model for the model calibration and simplification to fill the re
Externí odkaz:
https://doaj.org/article/3b28dc48b90241a39aa6ceef1dd134a6
Publikováno v:
بوم شناسی کشاورزی, Vol 15, Iss 1, Pp 51-74 (2023)
IntroductionCanola (Brassica napus L.) is known as the third most important oil crop in the world and is now cultivated over a large area of the world's farms in rotation with various crops, especially cereals (Reddy and Redi, 2003). Simulation model
Externí odkaz:
https://doaj.org/article/d5a6a17b2c154ffd80627fd114cf8ed8
Autor:
Elahe Akbari, Ali Darvishi Boloorani, Jochem Verrelst, Stefano Pignatti, Najmeh Neysani Samany, Saeid Soufizadeh, Saeid Hamzeh
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3690 (2023)
Quantification of vegetation biophysical variables such as leaf area index (LAI), fractional vegetation cover (fCover), and biomass are among the key factors across hydrological, agricultural, and irrigation management studies. The present study prop
Externí odkaz:
https://doaj.org/article/fab03afafd8b4b9ea7c4ee420e564ce8
Publikováno v:
Dysona. Applied Science, Vol 2, Iss 1, Pp 8-12 (2021)
Nuclear irradiation is considered among the practical techniques for improving germination, increasing yield, and enhancing the quality of agricultural products. To investigate the influence of gamma irradiation on germination characteristics of barl
Externí odkaz:
https://doaj.org/article/dc85d85356674226be12e584e38a9b36
Autor:
Kambiz Mootab Laleh, Majid Ghorbani Javid, Iraj Alahdadi, Elias Soltani, Saeid Soufizadeh, José Luis González-Andújar
Publikováno v:
Agronomy, Vol 13, Iss 3, p 705 (2023)
One of the crucial issues in developing nations is diminishing the yield gaps. Therefore, accurate yield gap estimation has many real-world uses for increasing crop production. Utilizing comparative performance analysis (CPA) techniques, the yield ga
Externí odkaz:
https://doaj.org/article/0b1bb273be24486f8c25e4e31645e1b2
Autor:
Maryam Rahimi Jahangirlou, Gholam Abbas Akbari, Iraj Alahdadi, Saeid Soufizadeh, David Parsons
Publikováno v:
Agriculture, Vol 11, Iss 1, p 11 (2020)
Maize grain is an important source of human and animal feed, and its quality can be affected by management practices and climatic conditions. This study aimed to evaluate the concentration and composition of starch, protein and oil in grain of maize
Externí odkaz:
https://doaj.org/article/f817938c874d4862abdff5e1c8f40a07
Autor:
Elahe Akbari, Ali Darvishi Boloorani, Najmeh Neysani Samany, Saeid Hamzeh, Saeid Soufizadeh, Stefano Pignatti
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1449 (2020)
Timely and accurate information on crop mapping and monitoring is necessary for agricultural resources management. Accordingly, the applicability of the proposed classification-feature selection ensemble procedure with different feature sets for crop
Externí odkaz:
https://doaj.org/article/3898a45d8a15465593fb363a6be98003
Autor:
Masoumeh Kouchak, Hamid-Reza Larijani, Meysam Oveysi, Saeid Soufizadeh, Mohamad-Reza Momayezi
Publikováno v:
Rendiconti Lincei. Scienze Fisiche e Naturali. 34:503-513
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4597095c2129574d2eb2de529c1c443b
https://doi.org/10.1007/s12210-023-01141-9
https://doi.org/10.1007/s12210-023-01141-9
Autor:
leila saberpour, Saeid Soufizadeh, Abdolmajid Mahdavi Damghani, Jafar Kambouzia, Ghorban Ghorbani Nasrabad
Publikováno v:
Environmental Sciences. 19:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f56b2ec7fccc831a5aa3a9456ec34c89
https://doi.org/10.52547/envs.2021.23861
https://doi.org/10.52547/envs.2021.23861
Publikováno v:
Ecological Informatics. 74:101967
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f884e49347029f2a73d96c4b9a8146c4
https://doi.org/10.1016/j.ecoinf.2022.101967
https://doi.org/10.1016/j.ecoinf.2022.101967