You are currently viewing a new version of our website. To view the old version click .

AgriEngineering, Volume 4, Issue 2

June 2022 - 15 articles

Cover Story: Automated guided vehicles (AGV) have been part of intralogistics for over six decades. The predictable conditions in industrial halls have provided the ideal conditions for simple automation. Simply designed safety devices, e.g., bumpers, could reduce risk to an acceptable level. However, soiling and harsh weather conditions are present in an agricultural environment, both indoors and outdoors. The state of the art in intralogistics are light detection and ranging (LiDAR) scanners, which are suitable for both navigation and collision avoidance, including personal protection. In this study, the outdoor and navigation suitability of LiDAR is assessed in test series. The aim is to contribute advice on validation of LiDAR as a possible technology in freely navigating automatic feeding systems. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (15)

  • Article
  • Open Access
21 Citations
4,230 Views
14 Pages

Prediction of Potassium in Peach Leaves Using Hyperspectral Imaging and Multivariate Analysis

  • Megan Io Ariadne Abenina,
  • Joe Mari Maja,
  • Matthew Cutulle,
  • Juan Carlos Melgar and
  • Haibo Liu

Hyperspectral imaging (HSI) is an emerging technology being utilized in agriculture. This system could be used to monitor the overall health of plants or in pest/disease detection. As sensing technology advancement expands, measuring nutrient levels...

  • Article
  • Open Access
8 Citations
6,550 Views
20 Pages

Development and Modeling of an Onion Harvester with an Automated Separation System

  • Michel N. Erokhin,
  • Alexey S. Dorokhov,
  • Alexey V. Sibirev,
  • Alexandr G. Aksenov,
  • Maxim A. Mosyakov,
  • Nikolay V. Sazonov and
  • Maria M. Godyaeva

One of the most important problems during the implementation of any technology is to reduce labor costs, energy, and resource conservation while increasing the yield of cultivated crops and, as a result, reducing the cost of production. Despite a sig...

  • Article
  • Open Access
1 Citations
3,470 Views
13 Pages

Machine Learning Model for Assuring Bird Welfare during Transportation

  • Ali Moghadam,
  • Harshavardhan Thippareddi and
  • Ramana Pidaparti

Bird welfare and comfort is highly impacted by extreme environments, including hot/cold temperatures, relative humidity, and heat production within the coops during loading at the farm, transportation, and holding at the processing plants. Due to the...

  • Article
  • Open Access
21 Citations
6,447 Views
11 Pages

In recent years, the agricultural field has been confronting difficulties such as the aging of farmers, a shortage of workers, and difficulties for new farmers. Harvesting time prediction has the potential to solve these problems, and is expected to...

  • Review
  • Open Access
12 Citations
4,943 Views
21 Pages

Mechanical perturbation constrains edaphic functionality of arable soils in tillage. Seasonal soil tool interactions disrupt the pristine bio-physio-mechanical characteristics of agricultural soils and crop-oriented ecological functions. They interfe...

of 2

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
AgriEngineering - ISSN 2624-7402