13.
|
Karimi, H.;Assari, M.;Zohdi, H.;Ranjbar-Varandi, Forough
2025. An Assessment of the Potential of Multispectral Sentinel-2 Satellite Imagery for Detecting Dubas Bug Infestations in Date Palm Cultivation Regions. Journal of Agricultural Machinery، 15(4)، 1-18
Download
|
|
14.
|
Akhtari H.;Navid H.;Karimi, H.;Dammer K.-H.
2025. Deep learning-based object detection model for location and recognition of weeds in cereal fields using colour imagery. Crop and Pasture Science، 76(4)، 1-14
|
|
15.
|
Ghaffarnezhad A.;Navid H.;Karimi, H.
2024. Optical detection of single and multiple seeding using an innovative shape-recognition algorithm. Smart Agricultural Technology، 9(100652)، 0-0
|
|
16.
|
Karimi, H.
2024. Intelligent dielectric method for evaluating some qualitative characteristics of date fruit. Postharvest Biology and Technology، 219(113195)، 0-0
|
|
17.
|
Fathipour A.;Navid H.;Karimi, H.;Ghaffarnejad A.;Wang N.
2023. An approach to compensation of dust effects on seed flow sensors. agricultural engineering international: cigr journal، 25(1)، 43-58
Download
|
|
18.
|
Karimi, H.;Navid, H;Dammer, KH
2023. A Pixel-wise Segmentation Model to Identify Bur Chervil (Anthriscus caucalis M. Bieb.) Within Images from a Cereal Cropping Field. Gesunde Pflanzen، 75(1)، 25-36
Download
|
|
19.
|
Karimi, H.;Navid, H;Seyedarabi, H;Jorgensen, RN
2021. Development of pixel-wise U-Net model to assess performance of cereal sowing. biosystems engineering، 208(208)، 260-271
|
|
20.
|
Besharati, B;Lak, A;Ghaffari, H;Karimi, H.;Fattahzadeh, M
2021. Development of a model to estimate moisture contents based on physical properties and capacitance of seeds. sensors and actuators, a: physical، 318(318)، 1-8
|
|
21.
|
salajegheh, f.;Tajeddin, B.;Panahi, B.;Karimi, H.
2020. Effect of edible coatings based on zein and chitosan and the use of Roman aniseed oil on the microbial activity of Mazafati dates. Journal of Food and Bioprocess Engineering، 3(2)، 178-184
Download
|
|
22.
|
Karimi, H.;Navid, H.;Besharati, B.;Eskandari, I.
2019. Assessing an infrared-based seed drill monitoring system under field operating conditions. COMPUTERS AND ELECTRONICS IN AGRICULTURE، 162(162)، 543-551
|
|
23.
|
Besharati B.;Navid H.;Karimi, H.;Behfar H.;Eskandari I.
2019. Development of an infrared seed-sensing system to estimate flow rates based on physical properties of seeds. COMPUTERS AND ELECTRONICS IN AGRICULTURE، 162(162)، 874-881
|
|
24.
|
Karimi, H.;Skovsen, S;Dyrmann, M;Jorgensen, RN
2017. A Novel Locating System for Cereal Plant Stem Emerging Points' Detection Using a Convolutional Neural Network. sensors، 18(5)، 1-16
Download
|
|
25.
|
Karimi, H.;Navid H.;Besharati B.;Behfar H.;Eskandari I.
2017. A practical approach to comparative design of non-contact sensing techniques for seed flow rate detection. Computers and Electronics in Agriculture، 142(142)، 165-172
|
|
26.
|
Karimi, H.;Hamid Reza Ghassemzadeh;Payam Pashaee;Ebrahim Zarei Shahamat
2015. Proposing an Appropriate Soil Water Content Estimation Technique for Iran. agricultural engineering international: cigr journal، 17(2)، 1-10
Download
|
|
27.
|
Karimi, H.;Navid H.;Mahmoudi A.
2015. Online laboratory evaluation of seeding-machine application by an acoustic technique. SPANISH JOURNAL OF AGRICULTURAL RESEARCH، 13(1)، 2-2
Download
|
|
28.
|
Karimi, H.;Hossein Navid;Asghar Mahmoudi
2012. Detection of damaged seeds in laboratory evaluation of precision planter using impact acoustics and artificial neural networks. journal of artificial intelligence research، 1(2)، 67-74
Download
|
|