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M
Mohsen Edalat
Shiraz University
13
H指数
73
论文数
816
被引数
0
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13
发表时间
发表时间
IF
被引数
Synergistic effects of nano-ZnO and ZnSO4 fertilization on yield and seed quality of rapeseed under drought stress
干旱胁迫下纳米氧化锌和硫酸锌施肥对油菜产量和种子品质的协同效应
Scientia Horticulturae
IF
4.2
2026-05-21
0
OA
AI
Seyed Davood Alavifard; Mansour Taghvaei; Ruhollah Naderi; Mohsen Edalat; Bahram Heidari; Andrea Mastinu
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Species distribution models and machine learning algorithms for medicinal and industrial plants conservation: Bridging habitat suitability and phytochemical quality mapping
药用和工业植物保护的物种分布模型与机器学习算法:连接生境适宜性与植物化学成分质量映射
Smart Agricultural Technology
IF
5.7
2026-05-01
0
OA
AI
Emran Dastres; Hassan Esmaeili; Mohsen Edalat
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Enhancing rapeseed germination by nano zinc oxide and zinc sulfate particles under interrupted irrigation
通过纳米氧化锌和硫酸锌颗粒在间歇灌溉条件下促进油菜萌发
Scientific Reports
IF
3.9
2025-12-25
0
OA
AI
Seyed Davood Alavifard; Mansour Taghvaei; Ruhollah Naderi; Mohsen Edalat; Bahram Heidari; Beata Dedicova
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Deep Ensemble Learning for Weed Risk Mapping: Hybrid RF–CatBoost and CNN–XGBoost Algorithms for Predicting Chenopodium album Distribution in Rapeseed Fields
基于深度集成学习的杂草风险制图:混合RF–CatBoost和CNN–XGBoost算法预测灰藜在油菜田中的分布
Smart Agricultural Technology
IF
5.7
2025-12-16
0
OA
AI
Emran Dastres; Mohsen Edalat
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Modeling the Ecological Preferences and Adaptive Capacities of Kentucky Bluegrass Based on Water Availability Using Various Machine Learning Algorithms
基于水资源可用性,利用各种机器学习算法对肯塔基蓝草的生态偏好和适应能力进行建模
Water 2025, Vol. 17, Page 2849
IF
3
2025-09-30
0
OA
AI
Mohammad A. Ghanbari; Emran Dastres; Hassan Salehi; Mohsen Edalat; Taras Pasternak
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Modeling habitat suitability for saffron (Crocus sativus L.) using AI-based approaches to support sustainable industrial cultivation
基于人工智能方法对红花(Crocus sativus L.)生境适宜性进行建模,以支持可持续的工业化种植
Industrial Crops and Products
IF
6.2
2025-09-24
0
OA
AI
Ghazal Shafiee Sarvestani; Mohsen Edalat; Emran Dastres; Rouhollah Naderi; Hamid Reza Pourghasemi
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Predicting nepetalactone accumulation in Nepeta persica using machine learning algorithms and geospatial analysis
利用机器学习算法和地理空间分析预测Nepeta persica中nepetalactone的积累
Scientific Reports
IF
3.9
2025-08-27
0
OA
AI
Emran Dastres; Ali Sonboli; Hassan Esmaeili; Mohammad Hossein Mirjalili; Mohsen Edalat
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Does the exogenous application of brassinosteroids affect the photosynthetic, morphological characteristics, and THC concentrations of Cannabis sativa L. under drought stress?
外源施加芸苔素内酯是否会影响大麻(Cannabis sativa L.)在干旱胁迫下的光合作用、形态学特征和THC浓度?
Journal of Applied Research on Medicinal and Aromatic Plants
IF
3.6
2025-04-01
0
PRE
AI
Shiva Barooti; Mohsen Edalat; Mostafa Oveisi; Seyed Abdolreza Kazemeini; Ruhollah Naderi
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Response of Bread Wheat Cultivars to Terminal Water Stress and Cytokinin Application from a Grain Phenotyping Perspective
AGRONOMY-BASEL
IF
3.4
2024-01-15
1
OA
AI
Zamani, Afshin; Emam, Yahya; Edalat, Mohsen
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Wheat yield modeling under water-saving irrigation and climatic scenarios in transition from surface to sprinkler irrigation systems
JOURNAL OF HYDROLOGY
IF
6.3
2022-09-01
22
PRE
AI
Solgi, Shahin; Ahmadi, Seyed Hamid; Sepaskhah, Ali Reza; Edalat, Mohsen
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Spatial mapping Zataria multiflora using different machine-learning algorithms
使用不同的机器学习算法对Zataria multiflora进行空间映射
CATENA
IF
5.7
2022-05-01
6
PRE
AI
Edalat, Mohsen; Dastres, Emran; Jahangiri, Enayat; Moayedi, Gholamreza; Zamani, Afshin; Pourghasemi, Hamid Reza; Tiefenbacher, John P.
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Is multi-hazard mapping effective in assessing natural hazards and integrated watershed management?
GEOSCIENCE FRONTIERS
IF
8.9
2020-07-01
84
OA
AI
Pourghasemi, Hamid Reza; Gayen, Amiya; Edalat, Mohsen; Zarafshar, Mehrdad; Tiefenbacher, John P.
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Assessing and mapping multi-hazard risk susceptibility using a machine learning technique
使用机器学习技术评估和绘制多危害风险易感性
SCIENTIFIC REPORTS
IF
3.9
2020-02-21
156
OA
AI
Pourghasemi, Hamid Reza; Kariminejad, Narges; Amiri, Mahdis; Edalat, Mohsen; Zarafshar, Mehrdad; Blaschke, Thomas; Cerda, Artemio
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研究方向
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合作学者
合作期刊
A
Artemi Cerdà
H 指数: 103 · 论文数: 721
H
Hamid Reza Pourghasemi
H 指数: 98 · 论文数: 378
T
Thomas Blaschke
H 指数: 85 · 论文数: 459
A
Ali Reza Sepaskhah
H 指数: 46 · 论文数: 347
J
John P. Tiefenbacher
H 指数: 44 · 论文数: 157
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