Moslem Abdipour

Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)

Moslem Abdipour, Mehdi Younessi‐Hmazekhanlu, Seyyed Hamid Reza Ramazani et al. · Industrial Crops and Products · 2018 · 112 citations

Precision Agriculture, Engineering, Artificial Neural Networks +11

Integration of UV irradiation and chitosan coating: A powerful treatment for maintaining the postharvest quality of sweet cherry fruit

Moslem Abdipour, Parivash Sadat Malekhossini, Mehdi Hosseinifarahi et al. · Scientia Horticulturae · 2020 · 94 citations

Edible Film, Sweet Cherry Fruit, Health Sciences +6

Modeling the seed yield of Ajowan ( Trachyspermum ammi L.) using artificial neural network and multiple linear regression models

Mohsen Niazian, Seyed Ahmad Sadat-Noori, Moslem Abdipour · Industrial Crops and Products · 2018 · 80 citations

Precision Agriculture, Engineering, Botany +9

Evaluation of drought tolerance in bread wheat genotypes under dryland and supplemental irrigation conditions.

Mohtasham Mohammadi, Rahmatollah Karımızadeh, Moslem Abdipour · Australian Journal of Crop Science · 2011 · 78 citations

Engineering, Supplemental Irrigation Conditions, Drought +14

Combination method of UV-B and UV-C prevents post-harvest decay and improves organoleptic quality of peach fruit

Moslem Abdipour, Mehdi Hosseinifarahi, Neda Naseri · Scientia Horticulturae · 2019 · 75 citations

Engineering, Botany, Organoleptic Quality +9