with the collaboration of Iranian Society of Mechanical Engineers (ISME)
Post-harvest technologies
Investigation of Brown Rice Losses in the Paddy Drying Process

S. Sharifi; M. H. Aghkhani; A. Rohani

Volume 14, Issue 2 , June 2024, , Pages 105-118

https://doi.org/10.22067/jam.2021.69208.1026

Abstract
  IntroductionOn the field and in the paddy milling factory dryer losses have always been challenging issues in the rice industry. Different forms of losses in brown rice may occur depending on the field and factory conditions. To reduce the losses, proper management during pre-harvest, harvesting, and ...  Read More

Bioenergy
Investigating the Efficiency of Drinking Water Treatment Sludge and Iron-Based Additives in Anaerobic Digestion of Dairy Manure: A Kinetic Modeling Study

J. Rezaeifar; A. Rohani; M. A. Ebrahimi-Nik

Volume 14, Issue 1 , March 2024, , Pages 15-34

https://doi.org/10.22067/jam.2023.83173.1176

Abstract
  In the quest for enhanced anaerobic digestion (AD) performance and stability, iron-based additives as micro-nutrients and drinking water treatment sludge (DWTS) emerge as key players. This study investigates the kinetics of methane production during AD of dairy manure, incorporating varying concentrations ...  Read More

Bioenergy
Experimental Study and Mathematical Modeling of Hydrogen Sulfide Removal from Biogas

M. Zarei; M. R. Bayati; M. A. Ebrahimi-Nik; B. Hejazi; A. Rohani

Volume 13, Issue 4 , December 2023, , Pages 521-533

https://doi.org/10.22067/jam.2023.80432.1142

Abstract
  IntroductionAnaerobic bacteria break down organic materials like animal manure, household trash, plant wastes, and sewage sludge during the anaerobic digestion process of biological materials and produce biogas. One of the main issues in using biogas is hydrogen sulfide (H2S), which can corrode pipelines ...  Read More

Bioenergy
Optimization of Biogas Production Efficiency from Anaerobic Digestion of Organic Fraction of Municipal Solid Waste under Thermal Pretreatment at Different Concentrations

M. Kamali; R. Abdi; A. Rohani; Sh. Abdollahpour; S. Ebrahimi

Volume 12, Issue 3 , September 2022, , Pages 409-421

https://doi.org/10.22067/jam.2021.68771.1018

Abstract
  IntroductionSince anaerobic digestion leads to the recovery of energy and nutrients from waste, it is considered the most sustainable method for treating the organic fraction of municipal solid wastes.However, due to the long solid retention time in the anaerobic digestion process, the low performance ...  Read More

Prediction the inside variables of even-span glass greenhouse with special structure by artificial neural network (MLP-RBF) models

M. Hamdani; M. Taki; M. Rahnama; A. Rohani; M. Rahmati-Joneidabad

Volume 10, Issue 2 , 2020, , Pages 213-227

https://doi.org/10.22067/jam.v10i2.72346

Abstract
  IntroductionControlling greenhouse microclimate not only influences the growth of plants, but is also critical in the spread of diseases inside the greenhouse. The microclimate parameters are inside air, roof, crop and soil temperature, relative humidity, light intensity, and carbon dioxide concentration. ...  Read More

Prioritization and Evaluation of Mechanical Components Failure of CNC Lathe Machine based on Fuzzy FMEA Approach

A. Vaysi; A. Rohani; M. Tabasizadeh; R. Khodabakhshian; F. Kolahan

Volume 9, Issue 2 , 2019, , Pages 399-414

https://doi.org/10.22067/jam.v9i2.73103

Abstract
  Introduction In recent years, with development of industrial products with complex and precise systems, the demand for CNC machines has been increasing, and as its technology has been progressed, more failure modes have been developed with complex and multi-purpose structures. The necessity of CNC machines’ ...  Read More

Modeling
Modeling the Effective Parameters on Accuracy of Soil Electrical Conductivity Measurement Systems Using RBF Neural Network

J. Baradaran Motie; M. H. Aghkhani; A. Rohani; A. Lakziyan

Volume 9, Issue 1 , 2019, , Pages 139-154

https://doi.org/10.22067/jam.v9i1.66489

Abstract
  Introduction Presently, the loss of ground water levels and the increase in dissolved salts have given importance to the determination of salinity and the management of their variations in irrigated farms. Soil electrical conductivity is an indirect method to measure soil salts. The direct electrode ...  Read More

Design and Construction
Fabrication and Evaluation of a Portable Biomass Stove for Implementing in Regions without Access to Natural Gas Distribution Network

M. A. Ebrahimi-Nik; A. Rohani

Volume 9, Issue 1 , 2019, , Pages 209-220

https://doi.org/10.22067/jam.v9i1.66670

Abstract
  Introduction More than 40 percent of the world population is now dependent on biomass as their main source of energy for cooking. In Iran, the lack of access roads and inefficient transportation structure have made some societies to adopt biomass as the main energy source for cooking. In such societies, ...  Read More

Presentation of a Modified Boustrophedon Decomposition Algorithm for Optimal Configuration of Flat Fields to use in Path Planning Systems of Agricultural Vehicles

R. Goudarzi; H. Sadrnia; A. Rohani; M. Nouribaygi

Volume 8, Issue 1 , 2018, , Pages 171-183

https://doi.org/10.22067/jam.v8i1.58398

Abstract
  Introduction The demand of pre-determined optimal coverage paths in agricultural environments have been increased due to the growing application of field robots and autonomous field machines. Also coverage path planning problem (CPP) has been extensively studied in robotics and many algorithms have been ...  Read More

Evaluation of heat transfer mathematical models and multiple linear regression to predict the inside variables in semi-solar greenhouse

M. Taki; Y. Ajabshirchi; S. F. Ranjbar; A. Rohani; M. Matloobi

Volume 7, Issue 1 , 2017, , Pages 204-220

https://doi.org/10.22067/jam.v7i1.48924

Abstract
  Introduction Controlling greenhouse microclimate not only influences the growth of plants, but also is critical in the spread of diseases inside the greenhouse. The microclimate parameters were inside air, greenhouse roof and soil temperature, relative humidity and solar radiation intensity. Predicting ...  Read More

Prediction of lateral surface, volume and sphericity of pomegranate using MLP artificial neural network

A. Rohani; S. I. Saedi; H. Gerailue; M. H. Aghkhani

Volume 5, Issue 2 , 2015, , Pages 292-301

https://doi.org/10.22067/jam.v5i2.28130

Abstract
  Introduction: Fast and accurate determination of geometrical properties of agricultural products has many applications in agricultural operations like planting, cultivating, harvesting and post-harvesting. Calculations related to storing, shipping and storage-coating materials as well as peeling time ...  Read More

Prediction of Combine Economic Life Based on Repair and Maintenance Costs Model

A. Rohani; H. Ghaffari; R. Felehgari; Kh. Mohammadi; H. Masoudi

Volume 4, Issue 2 , 2014, , Pages 360-367

https://doi.org/10.22067/jam.v4i2.34818

Abstract
  Farm machinery managers often need to make complex economic decisions on machinery replacement. Repair and maintenance costs can have significant impacts on this economic decision. The farm manager must be able to predict farm machinery repair and maintenance costs. This study aimed to identify a regression ...  Read More

Making Weed Management Maps by Artificial Neural Networks for Using in Precision Agriculture

A. Rohani; H. Makarian

Volume 1, Issue 2 , 2011

https://doi.org/10.22067/jam.v1i2.11355

Abstract
  With the rise of new powerful statistical techniques and neural networks models, the development of predictive species distribution models has rapidly increased in ecology. In this research, a learning vector quantization (LVQ) and multi layer perceptron (MLP) neural network models have been employed ...  Read More