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37.
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Danial Gandomzadeh;Saeidirad, M.;Yeganeh Sabeghi;Abbas Rohani;Elham Azarpazhooh;Yasaman Saeidirad;Hosahalli S Ramaswamy
2024. A comprehensive review of drying techniques and quality for saffron. journal of food measurement and characterization، 0(-)، 1-15
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38.
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Baradaran Motie, J;Saeidirad, M.;Jafarian, M.
2023. Identification of Sunn-pest affected (Eurygaster Integriceps put.) wheat plants and their distribution in wheat fields using aerial imaging. Ecological Informatics، 76(-)، 1-14
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39.
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Alighaleh,P.;Pakdel,R.;Ghnei Ghooshkhaneh, N.;Einafshar, S.;Rohani, A.;Saeidirad, M.
2023. Detection and Classification of Saffron Adulterants by Vis-Nir Imaging, Chemical Analysis, and Soft Computing. foods، 12(11)، 1-17
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40.
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asadi, h.;Gazor, H.;shirvanian, a.;Mohaddes Hossieni, S.;abyar, n.;HAMIDI, A.;Saeidirad, M.;HABIBI ASL, J.;Razzaghi, M.;Behaeen, M.;Mahmoudi, M.;Eyvani, A.;Dehghan, E.
2022. Financial evaluation of wheat seed processing lines in domestic systems and the value of seed losses. Iran Agricultural Research، 41(1)، 75-82
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41.
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Alighaleh,P.;Khosravi,H.;Rohani,A.;Saeidirad, M.;Einafshar, S.
2022. The detection of saffron adulterants using a deep neural network approach based on RGB images taken under uncontrolled conditions. expert systems with applications، 198(1)، 1-9
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42.
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Saeidirad, M.;Zarifneshat, S.
2019. The effect of lifting conditions, packaging and store temperature on saffron corm proliferation and stigma yield. AgricEngInt: CIGR Journal، 21(1)، 150-155
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43.
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Saeidirad, M.;sharayei, p.;Zarifneshat, S.
2014. Effect of drying temperature, air velocity and flower types on dried saffron flower quality. Agric Eng Int: CIGR Journal، 16(4)، 251-254
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44.
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Gholipoor, h.;Bahrami, H.;Saeidirad, M.
2013. Investigation of some Effective Parameters on Tomato Fruits Losses at Post Harvesting. J. Basic. Appl. Sci. Res.، 3(8)، 797-800
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45.
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Gholipoor, h.;Bahrami, H.;Saeidirad, M.
2013. Investigation of Post Harvesting Time and Size Effects on Tomato Mechanical Strength under Quais-Static Loading. J. Basic. Appl. Sci. Res.، 3(8)، 532-5396
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46.
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Saeidirad, M.;Rohani, A.;Zarifneshat, S.
2013. Predictions of viscoelastic behavior of pomegranate using artificial neural network and Maxwell model. Cumputers and Electronics in Agriculture، 98(98)، 1-7
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47.
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Saeidirad, M.;Esaghzade, M.;Arabhosseini, A.;Zarifneshat, S.
2012. Influence of machine-crop parameters on the threshability of sorghum. Agricultural Engineering International: CIGR Journal، 15(3)، 55-59
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48.
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Seyedabadi, E.;Khojastehpour, M.;Sadrnia, H.;Saeidirad, M.
2011. Mass modeling of cantaloupe based on geometric attributes: A case study for Tile Magasi and Tile Shahri. Scientia Horticulturae، 130(1)، 54-59
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49.
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Emadi, B.;Saeidirad, M.
2011. Moisture-dependent physical properties of saffron flower. Journal of Agricultural Science and Technology، 13(3)، 387-398
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50.
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Saeidirad, M.;Javadi, A.
2011. Study on machine-crop parameters of cylinder threshers for cumin threshing. Agricultural Engineering International: CIGR Journal، 13(2)، 1-5
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51.
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Moghimi, A.;Saeidirad, M.;Moghadam, E.G.
2011. Interpretation of viscoelastic behaviour of sweet cherries using rheological models. International Journal of Food Science &Technology، 46(4)، 855-861
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52.
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Saeidirad, M.;Mirsalehi, M.
2010. Prediction of mechanical properties of cumin seed using artificial neural networks. Journal of Texture studies، 41(1)، 34-48
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53.
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Khodabakhshian, R.;Emadi, B.;Abbaspour Fard, M.H.;Saeidirad, M.
2010. Mechanical Properties of Sunflower Seed and Its Kernel Azargol Variety as a Case Study, under Compressive Loading. Journal of Agricultural Science and Technology، 4(2)، 1-8
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54.
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Saeidirad, M.;Tabatabaeefar, A.;Borghei, A.;Mirsalehi, M.;Badii, F.;Ghasemi-Varnamkhasti, M.
2008. Effects of moisture content, seed size, loading rate and seed orientation on force and energy required for fracturing cumin seed (Cuminum cyminum Linn.) under quasi-static loading. Food Engineering Journal، 86(4)، 565-572
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55.
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Saeidirad, M.
2006. Design and development of a two-raw saffron bulb planter. Agricultural Mechanization in Asia and Latin America، 37(2)، 48-50
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