Saeid Soufizadeh

ORCID: 0000-0001-8403-3472
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About
Contact & Profiles
Research Areas
  • Agronomic Practices and Intercropping Systems
  • Weed Control and Herbicide Applications
  • Crop Yield and Soil Fertility
  • Allelopathy and phytotoxic interactions
  • Climate change impacts on agriculture
  • Genetics and Plant Breeding
  • Agricultural Science and Fertilization
  • Wheat and Barley Genetics and Pathology
  • Pesticide and Herbicide Environmental Studies
  • Rice Cultivation and Yield Improvement
  • Pesticide Exposure and Toxicity
  • Nitrogen and Sulfur Effects on Brassica
  • Irrigation Practices and Water Management
  • Sunflower and Safflower Cultivation
  • Plant Water Relations and Carbon Dynamics
  • Agriculture Sustainability and Environmental Impact
  • Agriculture, Plant Science, Crop Management
  • Remote Sensing in Agriculture
  • Nematode management and characterization studies
  • Environmental Impact and Sustainability
  • Leaf Properties and Growth Measurement
  • Plant Genetic and Mutation Studies
  • Plant responses to elevated CO2
  • Peanut Plant Research Studies
  • Legume Nitrogen Fixing Symbiosis

Shahid Beheshti University
2014-2024

University of Liège
2024

Gembloux Agro-Bio Tech
2024

Agroécologie
2007-2019

University of Tehran
2006-2019

Tarbiat Modares University
2006-2010

The University of Queensland
2010

Iranian Research Institute of Plant Protection
2006

Directorate of Weed Research
2006

Timely and accurate information on crop mapping monitoring is necessary for agricultural resources management. Accordingly, the applicability of proposed classification-feature selection ensemble procedure with different feature sets investigated. Here, we produced various including spectral bands, indices, variation index, texture, combinations features to map types crops. By using random forest (RF) classifier, maps were created. In aiming determine most relevant distinctive features,...

10.3390/rs12091449 article EN cc-by Remote Sensing 2020-05-03

Summary There are inaccuracies in the chemical families of WSSA and HRAC herbicide classification systems which could limit their practical use herbicide‐based weed management strategies. In essence, these be divided into four parts: (i) nomenclature many is not correct, (ii) distinct active ingredients grouped same families, (iii) have been repeated at least two modes action/herbicide groups, (iv) assigned to family, group or mode action. The aim this study was revise current...

10.1111/wre.12153 article EN Weed Research 2015-04-23

Maize grain is an important source of human and animal feed, its quality can be affected by management practices climatic conditions. This study aimed to evaluate the concentration composition starch, protein oil in maize cultivars response different planting dates (20 June 21 July), irrigation (12-day 6-day intervals) nitrogen rates (0 184 kg N ha−1). The first two principal components (PCs) accounted for 84.5% total variation. High fertilization increased (by 6.0 10.9 g kg−1) nonessential...

10.3390/agriculture11010011 article EN cc-by Agriculture 2020-12-27

Assessing the vulnerability of farmers can strengthen their capabilities against climate change (CC). For this purpose, study uses a multi-dimensional approach, integrating both quantitative and qualitative methods to assess CC subsequently provide solutions cope with or adapt in rural districts (RDs) Hashtroud city, northwestern Iran. Our findings reveal that lowest Solouk Qarranqou RDs is due higher "net income from farmlands," "labor force," "medical insurance" "access agricultural...

10.1016/j.ecoinf.2024.102669 article EN cc-by-nc-nd Ecological Informatics 2024-06-12

Quantification of vegetation biophysical variables such as leaf area index (LAI), fractional cover (fCover), and biomass are among the key factors across hydrological, agricultural, irrigation management studies. The present study proposes a kernel-based machine learning algorithm capable performing adaptive nonlinear data fitting so to generate suitable, accurate, robust for spatio-temporal estimation three mentioned using Sentinel-2 images. To this aim, Gaussian process regression...

10.3390/rs15143690 article EN cc-by Remote Sensing 2023-07-24

Abstract BACKGROUND: The present study describes the quantitative changes in herbicide use during specific observation periods Wheat Self‐sufficiency Project Iran from 1994 to 2004 and associated risk, area yield this context. A risk index, environmental impact quotient (EIQ), was used estimate impacts (EIs) of herbicides applied wheat agroecosystems. RESULTS: results suggest that, period, overall posed by agroecosystems increased substantially, as evidenced a 71% increase usage (weight...

10.1002/ps.1432 article EN Pest Management Science 2007-07-30

Abstract The ability of AquaCrop was explored in simulating growth and development irrigated rice genotypes under various seedling ages. Experiments were conducted 2008 2009 Amol, Iran. Local improved cultivars chosen (Tarom, Ghaem, Fajr) planted Results showed that simulated the yield with reasonable accuracy. model could follow same order grain yield. However, had tendency toward slight overestimation dry matter early season. not capture senescence oldest age very well tended to keep...

10.1111/nrm.12162 article EN Natural Resource Modeling 2018-02-06

Abstract In semi-arid regions, selecting cultivars and planning management practices are critical issues for improving yields reducing risks of maize cultivation in the short summer cropping season. This study aimed to assess responses grain yield (GY) important phenotypic characteristics from different maturity groups under various irrigation regimes, planting dates, nitrogen rates, a 2-year experiment. According clusters identified loading plot, stover yield, radiation use efficiency...

10.1007/s42106-021-00151-7 article EN cc-by International Journal of Plant Production 2021-08-03
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