with the collaboration of Iranian Society of Mechanical Engineers (ISME)
Appraisal of Fine Distribution in a Pilot-scale Silo in Different Filling Conditions

A. Nourmohamadi-Moghadami; D. Zare; Sh. Kamfiroozi; A. A. Jafari; M. A. Nematollahi; R. Kamali

Volume 9, Issue 1 , 2019, , Pages 31-48

https://doi.org/10.22067/jam.v9i1.69749

Abstract
  Introduction During filling a silo, granular material containing a range of particle sizes, the fine material accumulates under the filling point. The inclined surface of stationary bed particle which is formed in silos during filling process acts similar to a sieve through which the smaller particle ...  Read More

Estimation of Date Syrup Viscosity using Machine Vision and Artificial Neural Network

A. A. Jafari; E. Tatar

Volume 8, Issue 2 , 2018, , Pages 309-320

https://doi.org/10.22067/jam.v8i2.61681

Abstract
  Introduction Science of rheology has numerous applications in various fields of the food industry such as process assessment, acceptance of products and sales. Fluid behavior changes during processing due to an adverse change in the consistency and due to the combined operations such as mixing, heating, ...  Read More

Development of a Grapevine Pruning Algorithm for Using in Pruning

S. M. Hosseini; A. A. Jafari

Volume 7, Issue 2 , 2017, , Pages 323-335

https://doi.org/10.22067/jam.v7i2.52617

Abstract
  Introduction Great areas of the orchards in the world are dedicated to cultivation of the grapevine. Normally grape vineyards are pruned twice a year. Among the operations of grape production, winter pruning of the bushes is the only operation that still has not been fully mechanized while it is known ...  Read More

Application of generalized Hough transform for detecting sugar beet plant from weed using machine vision method

A. Bakhshipour Ziaratgahi; A. A. Jafari; Y. Emam; S. M. Nassiri; S. Kamgar; D. Zare

Volume 7, Issue 1 , 2017, , Pages 73-85

https://doi.org/10.22067/jam.v7i1.49959

Abstract
  Introduction Sugar beet (Beta vulgaris L.) as the second most important world’s sugar source after sugarcane is one of the major industrial crops. The presence of weeds in sugar beet fields, especially at early growth stages, results in a substantial decrease in the crop yield. It is very important ...  Read More

Image Processing
Development and evaluation of a targeted orchard sprayer using machine vision technology

H. Asaei; A. A. Jafari; M. Loghavi

Volume 6, Issue 2 , 2016, , Pages 362-375

https://doi.org/10.22067/jam.v6i2.37220

Abstract
  IntroductionIn conventional methods of spraying in orchards, the amount of pesticide sprayed, is not targeted. The pesticide consumption data indicates that the application rate of pesticide in greenhouses and orchards is more than required. Less than 30% of pesticide sprayed actually reaches nursery ...  Read More

Image Processing
Exploring the possibility of using digital image processing technique to detect diseases of rice leaf

H. Payman; A. Bakhshipour Ziaratgahi; A. A. Jafari

Volume 6, Issue 1 , 2016, , Pages 69-79

https://doi.org/10.22067/jam.v6i1.32031

Abstract
  Introduction: Rice is a very important staple food crop provides more than half of the world caloric supply. Rice diseases lead to significant annual crop losses, have negative impacts on quality of the final product and destroy plant variety. Rice Blast is one of the most widespread and most destructive ...  Read More

Monitoring of Conservation Tillage and Tillage Intensity by Ground and Satellite Imagery

M. A. Rostami; M. H. Raoufat; A. A. Jafari; M. Loghavi; M. Kasraei; S. M. J. Nazemsadat

Volume 4, Issue 2 , 2014, , Pages 255-265

https://doi.org/10.22067/jam.v4i2.34822

Abstract
  Local information about tillage intensity and ground residue coverage is useful for policies in agricultural extension, tillage implement design and upgrading management methods. The current methods for assessing crop residue coverage and tillage intensity such as residue weighing methods, line-transect ...  Read More

Image Processing
Yield Estimation of Sugar Beet Based on Plant Canopy Using Machine Vision Methods

S. Latifaltojar; A. A. Jafari; S. M. Nassiri; H. Sharirfi

Volume 4, Issue 2 , 2014, , Pages 275-284

https://doi.org/10.22067/jam.v4i2.28053

Abstract
  Crop yield estimation is one of the most important parameters for information and resources management in precision agriculture. This information is employed for optimizing the field inputs for successive cultivations. In the present study, the feasibility of sugar beet yield estimation by means of machine ...  Read More