Saffron Agronomy and Technology

Saffron Agronomy and Technology

Number of Volumes 13
Number of Issues 51
Number of Articles 345
Number of Contributors 767
Article View 684,710
PDF Download 495,924
View Per Article 1984.67
PDF Download Per Article 1437.46
Number of Submissions 593
Rejected Submissions 209
Reject Rate 35
Accepted Submissions 317
Acceptance Rate 53
Time to Accept (Days) 150
Number of Indexing Databases 13
Number of Reviewers 879

The Journal of Saffron Agronomy and Technology is an open access double-blind peer-reviewed quarterly journal, owned, managed, and published by University of Torbat Heydarieh since 2013. The journal publishes original research papers of high scientific quality on different aspects of agriculture, basic science medical properties, biotechnology, genetic and plant breeding, processing, food industry, phytochemical properties, economic marketing and other related subjects to Saffron.


Journal Title

Journal of Saffron Agronomy and Technology

P-ISSN

2383-1529

E-ISSN

2383-2142

Frequency

Quarterly

Editor-in-Chief

Parviz Rezvani Moghaddam, Ph.D.

Language 

Persian with English Abstracts

Plagiarism Checker

iThenticate, Hamiyab (For Persian Text)

Peer Review Policy

Double-blind

Article Processing Charges

Free (No APC)

Average Review Time

4 Months

Acceptance Rate

30%

Owner & Publisher

University of Torbat Heydarieh, Iran.

In Collaboration With

Iranian Medicinal Plants Society

Keywords Cloud

  • Saffron
  • Crocin
  • Safranal
  • Stigma
  • Corm
  • Picrocrocin
  • Stigma yield
  • Yield
  • Corm weight
  • Replacement corm
  • Cow manure
  • Daughter corm
  • Vermicompost
  • Corm yield
  • Flower yield
  • nutrition
  • Saffron Yield
  • Saffron stigma
  • Organic fertilizer
  • Number of flower
  • medicinal plants
  • planting date
  • genetic diversity
  • Marketing
  • Saffron Corm
  • Saffron production
  • Export
  • number of flowers
  • Nutrient Management
  • Manure
  • Anthocyanin
  • Flower
  • flower number
  • climate change
  • Stigma weight
  • Stigma dry weight
  • Temperature
  • Proline
  • gravity model
  • Flowering
  • Corm size
  • Crocetin
  • Zoning
  • weed
  • Organic manure
  • Chemical fertilizer
  • Antioxidant
  • Technical Efficiency
  • image processing
  • Humic Acid
  • saffron farmers
  • Leaf length
  • Daughter corms
  • Iran
  • \"
  • Ordered logit
  • irrigation
  • Water requirement
  • Chlorophyll
  • Allelopathy
  • Dry stigma
  • Cluster analysis
  • foliar application
  • Medicinal plant
  • Separation
  • corm number
  • Crocus sativus
  • Sustainable agriculture
  • Mulch
  • Humic acid
  • organic fertilizers
  • Positive Mathematical Programming
  • Identification
  • Summer Irrigation
  • optimization
  • In vitro
  • Kashmar
  • Flower weight
  • panel data
  • pricing
  • Attitude
  • Dry stigma yield
  • Artificial Neural Network
  • singulation
  • fertilization
  • Bolourab A
  • Modeling
  • Lack-of-fit test
  • Protein
  • picocrocin
  • Aeroponic
  • Beeswax waste
  • Conventional irrigation
  • Water productivity
  • Global warming potential
  • Crocin content
  • Nutritional Elements
  • Artificial intelligence
  • Sustainable Production
  • Unsustainable system
  • Rainfall
  • Foliar nutrition
  • saffron flower
  • Pathogenicity
  • aligning
  • secondary metabolite
  • Logit Model
  • Consumer Preferences
  • aqueous extract
  • Plant spacing
  • Saffron petals
  • Irrigation method
  • style
  • Biodiversity
  • Bahar plain
  • Mother corms
  • Anthocyanins
  • Nitroxin
  • Wheat mulch
  • Morphological
  • Quality
  • Drought
  • Field capacity
  • polyethylene
  • molecular
  • Cash crop
  • Dry stigma weight
  • Flowering bud
  • Radiation
  • Essential oil
  • Greenhouse Gases
  • risk
  • Amino acid
  • Photosynthetic pigments
  • Drought stress
  • Khorasan Razavi
  • biological control
  • adaptation
  • Machine Learning
  • water stress
  • Dry weight of stigma
  • Inoculation
  • Leaf area index
  • Regression
  • Willingness to pay
  • Torbat Heydarieh
  • Polymorphism
  • Qaen City
  • Antioxidant activity
  • Replacement Corms
  • Crop growth rate
  • Agriculture
  • LER
  • Risk Matrix
  • Capability analysis
  • Forecasting
  • Statistical process control
  • sequencing
  • Competitiveness
  • Extract
  • DPPH
  • HPLC
  • Flavonoid
  • Risk Management
  • volatile compounds
  • Correlation
  • Peroxidase
  • Productivity
  • quality of work life
  • Optimal allocation
  • Scanning electron microscopy
  • Rice
  • FAHP
  • Polymerase Chain Reaction
  • Uncertainty analysis
  • Ultrasound
  • Stability
  • Sustainability
  • Glucose
  • Fungi
  • aging
  • Co-integration
  • fatigue
  • Remote Sensing
  • Solvent extraction
  • Strategic Planning
  • Model
  • Electron Microscopy
  • logistic regression
  • Neural Networks
  • Microbial load
  • performance
  • processing
  • vegetative growth
  • Silica
  • Ecological Footprint
  • Catalase
  • Analytical Hierarchy Process
  • Multi-criteria decision making
  • Job Satisfaction