Dr. Mehrnoosh Jafari m.jafari@iut.ac.ir Office Department of Biosystems Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran. P.O. Box: 84156-83111. Phone +98 313 3913494 Fax +98 313 3913471 Positions Assistant Professor of Biosystems Engineering Research Interests Design and Development of Agricultural Machinery Integrating Automation and Control in Agricultural Machinery Remote Sensing and Machine Vision Dr. Mehrnoosh Jafari type: Journal Title Conference / Journal Date CFD-DEM simulation and performance analysis of a constructed alfalfa leaf collector Computational Particle Mechanics 2026-06 Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models Scientific Reports 2026-05 The effect of UAV sprayer operational characteristics on spray deposition within the target area Smart Agricultural Technology 2025-12 Zinc Amendment Prompts Phytotoxic to Beneficial Effects in Safflower Growth and Physiological Functions Under Calcareous Soil and Saline Water Conditions JOURNAL OF PLANT GROWTH REGULATION 2025-12 Application of computational fluid dynamics (CFD) for optimal temperature sensor placement in a greenhouse equipped with a pad-fan cooling (PFC) system Smart Agricultural Technology 2025-06 اعتبارسنجي كوپل نرم افزارهاي Ansys Fluentو Rocky با بررسي اثر پارامترهاي عملكردي غربال استوانه اي دوار بر تميزي دانه هاي برنج مهندسي بيوسيستم ايران 2025-04 Classification of Some Iranian Vicia Species Using SEM Image Analysis Coupled with Conventional Texture Analysis and Deep Learning Journal of Agricultural Science and Technology 2025-03 Impact of Epichlo fungal endophyte-tall fescue symbiosis on mechanical characteristics of rooted soil depending on the host genotype SOIL and TILLAGE RESEARCH 2025-02 Novel feature extraction in laser light backscattering imaging for real-time monitoring of quince moisture content during hot-air drying JOURNAL OF FOOD ENGINEERING 2025-01 Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers Smart Agricultural Technology 2025-01
