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AgriEngineering, Volume 4, Issue 2

2022 June - 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
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Articles (15)

  • Article
  • Open Access
5 Citations
3,122 Views
22 Pages

The delivery of herbaceous feedstock from satellite storage locations (SSLs) to a biorefinery or preprocessing depot is a logistics problem that must be optimized before a new bioenergy industry can be realized. Both load-out productivity, defined as...

  • Article
  • Open Access
13 Citations
4,361 Views
11 Pages

Influence of Soil Wetting and Drying Cycles on Soil Detachment

  • Jian Wang,
  • Dexter B. Watts,
  • Qinqian Meng,
  • Fan Ma,
  • Qingfeng Zhang,
  • Penghui Zhang and
  • Thomas R. Way

Agricultural soils undergo periods of saturation followed by desiccation throughout the course of a growing season. It is believed that these periods of wetting and drying influence soil structure and may affect the rate of soil detachment. Thus, an...

  • Article
  • Open Access
7 Citations
3,465 Views
10 Pages

Attractants used with sticky traps for monitoring navel orangeworm include artificial pheromone lures, ovipositional bait (ovibait) bags, and phenyl propionate; however, the sticky traps have the limitations of potentially becoming ineffective becaus...

  • Article
  • Open Access
13 Citations
6,297 Views
16 Pages

Comparison of Single-Shot and Two-Shot Deep Neural Network Models for Whitefly Detection in IoT Web Application

  • Chinmay U. Parab,
  • Canicius Mwitta,
  • Miller Hayes,
  • Jason M. Schmidt,
  • David Riley,
  • Kadeghe Fue,
  • Suchendra Bhandarkar and
  • Glen C. Rains

In this study, we have compared YOLOv4, a single-shot detector to Faster-RCNN, a two-shot detector to detect and classify whiteflies on yellow-sticky tape (YST). An IoT remote whitefly monitoring station was developed and placed in a whitefly rearing...

  • Article
  • Open Access
11 Citations
3,753 Views
18 Pages

Evaluation of LiDAR for the Free Navigation in Agriculture

  • Matthias Reger,
  • Jörn Stumpenhausen and
  • Heinz Bernhardt

Driverless transport systems (DTS) or automated guided vehicles (AGV) have been part of intralogistics for over six decades. The uniform and structured environment conditions in industrial halls provided the ideal conditions for simple automation, su...

  • Article
  • Open Access
1 Citations
2,648 Views
6 Pages

Energy Assessment for First and Second Season Conventional and Transgenic Corn

  • Rodolfo Michelassi Silber and
  • Thiago Libório Romanelli

The exploitation of natural resources for agriculture is growing to fulfill the demand for food, which requires the rational use of inputs for sustainable production. Brazilian agricultural production stands out on the international scene. For instan...

  • Review
  • Open Access
25 Citations
12,232 Views
8 Pages

Automated Systems for Estrous and Calving Detection in Dairy Cattle

  • Camila Alves dos Santos,
  • Nailson Martins Dantas Landim,
  • Humberto Xavier de Araújo and
  • Tiago do Prado Paim

Purpose: The objective of this review is to describe the main technologies (automated activity monitors) available commercially and under research for the detection of estrus and calving alerts in dairy cattle. Sources: The data for the elaboration o...

  • Article
  • Open Access
21 Citations
4,995 Views
14 Pages

Crop yield forecasting is becoming more essential in the current scenario when food security must be assured, despite the problems posed by an increasingly globalized community and other environmental challenges such as climate change and natural dis...

  • Article
  • Open Access
52 Citations
7,539 Views
37 Pages

Disruptive Technologies in Smart Farming: An Expanded View with Sentiment Analysis

  • Sargam Yadav,
  • Abhishek Kaushik,
  • Mahak Sharma and
  • Shubham Sharma

Smart Farming (SF) is an emerging technology in the current agricultural landscape. The aim of Smart Farming is to provide tools for various agricultural and farming operations to improve yield by reducing cost, waste, and required manpower. SF is a...

  • Article
  • Open Access
2 Citations
4,445 Views
10 Pages

This study aimed to improve the seed quality during the deterioration period of rough rice (Oryza sativa L.), cultivar ‘Khoa Dawk Mali 105’ (KDML 105), using an automatic soaking and germination accelerator unit (ASGA) together with stimu...

  • Article
  • Open Access
22 Citations
4,456 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
10 Citations
6,906 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
3,578 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
22 Citations
6,718 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
5,194 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...

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AgriEngineering - ISSN 2624-7402