Hossein Bagherpour

ORCID: 0000-0002-6877-6281
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Research Areas
  • Spectroscopy and Chemometric Analyses
  • Smart Agriculture and AI
  • Advanced Chemical Sensor Technologies
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Soil Mechanics and Vehicle Dynamics
  • Agricultural Engineering and Mechanization
  • Quality and Supply Management
  • Meat and Animal Product Quality
  • Biodiesel Production and Applications
  • Effects of Vibration on Health
  • Crop Yield and Soil Fertility
  • Nuts composition and effects
  • Mechanical Engineering and Vibrations Research
  • Hybrid Renewable Energy Systems
  • Process Optimization and Integration
  • Remote Sensing and Land Use
  • Advanced Welding Techniques Analysis
  • Phytochemicals and Antioxidant Activities
  • Surface Treatment and Coatings
  • Ergonomics and Musculoskeletal Disorders
  • Laser and Thermal Forming Techniques
  • Magnetic and Electromagnetic Effects
  • Greenhouse Technology and Climate Control
  • Welding Techniques and Residual Stresses
  • Plant Surface Properties and Treatments

Bu-Ali Sina University
2019-2024

Payame Noor University
2019

Tarbiat Modares University
2010

Cinnamon is one of the medicinal spices that important in point economic and human health. The goal present research was to classify levels different adulterations spice using hyperspectral imaging technology. In research, three adulterants were investigated including sea foam powder chickpea wheat flour with 0, 5, 15, 30, 50% adulteration levels. After sample preparation, images them acquired a line scan system. effective wavelengths selected image features extracted. classified artificial...

10.1016/j.rechem.2024.101644 article EN cc-by Results in Chemistry 2024-07-01

Cinnamon is one of the medicinal spices that important in point economic. Detection food adulteration laboratory and manually tiring, costly, requires experts which unreliable due to its subjective nature. The goal present research was classify levels different adulterations spice using hyperspectral imaging technology. In research, three adulterants were investigated including sea foam powder chickpea wheat flour with 0, 5, 15, 30, 50% levels. After sample preparation, images them acquired...

10.2139/ssrn.4832817 preprint EN 2024-01-01

Abstract The main priorities in crop production are increasing the yield and decreasing cost of production. Precision farming is best practice to approach these goals. For real time measurement sugar beet yield, a monitor was developed, installed on exterior side harvester’s chassis. advantage this arrangement over similar systems location load cell system’s frame which prevents blockage by trash, mud or plant roots. weight, one each harvester chassis used. Conveyor ground speeds were...

10.1515/cerce-2015-0013 article EN Cercetari Agronomice in Moldova 2015-03-01

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10.2139/ssrn.4791477 preprint EN 2024-01-01

Traditional methods of separating defective cucumbers are inherently labor‐intensive and time‐consuming. However, with the emergence intelligent farming practices, deep learning (DL) algorithms, particularly in fields image processing machine vision, have demonstrated significant potential to address this challenge. The main objective research study is develop a DL‐based algorithm capable classifying into three distinct categorical groups based on their visual characteristics: defective,...

10.1155/2024/5818803 article EN cc-by Journal of Food Processing and Preservation 2024-01-01

In some countries, most hazelnuts are cracked using semi-industrial or hand-crafted machines and marketed as open-shell. the process of hazelnut cracking, because different sizes shapes hazelnuts, many leave cracking machine in form a closed-shell. The presence closed-shell reduces marketability product. Therefore, after operation, separation closed-shells from whole has largely been conducted by visual inspection, which is time-consuming, labor-intensive, lacks accuracy. So, purpose this...

10.1155/2023/2177724 article EN Journal of Food Processing and Preservation 2023-11-08

Feasibility of Using NIR and PLSR Model for Prediction Wheat Grains protein moisture content Mapping Quality Yield Map

10.52547/fsct.17.99.45 article EN cc-by-nc Food Science and Technology 2020-04-01

شاخص پوشش گیاهی سبز کسری (FVC) و نرمال شده تفاضل (NDVI) از بسیار مهم سبزینگی می‌باشند ارتباط قوی با زیست‌توده دارند. هدف اصلی این پژوهش، ارزیابی NDVI حاصل حسگر دستیGreesnseeker (GS)  در تخمین مقدار زیست‌توده، کلروفیل FVC در گیاه اسفناج می‌باشد. پژوهش برای جداسازی مناسب زمینه خاک شاخص‌های رنگی G-B ExG استفاده شد. طول دوره رشد 28 تا 44 روز بعد جوانه‌زنی گیاه، نتایج تحقیق نشان داد که GS خوبی داشته (R = 0.61 to 0.91) بین نیز معنی‌دار بود. علاوه بر این، وجود دارد ((R 0.67 0.82. تاثیر نرخ نیتروژن...

10.22067/jam.2021.68387.1013 article FA DOAJ (DOAJ: Directory of Open Access Journals) 2022-03-01

10.1504/ijmp.2023.10046531 article EN International Journal of Management Practice 2022-04-20
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