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AgriEngineering, Volume 5, Issue 3

September 2023 - 31 articles

Cover Story: Plastic contamination in U.S. cotton bales, mainly from John Deere round module harvester wraps, jeopardizes the cotton sector. Current manual cleaning methods fail to fully remove these contaminants. To address this, we introduced a machine-vision system that uses color cameras to identify and remove plastic during cotton processing. Built on affordable ARM computers with Linux, the system comprises 30–50 units, but calibration is labor-intensive and challenging for typical gin workers. Our research offers an auto-calibration algorithm, designed to automatically track cotton color and utilize frequency statistics, sidestepping plastic images that might hinder performance. This auto-calibration significantly reduces setup effort, turning the system into a near plug-and-play device. It diminishes reliance on expert staff, promoting faster industry-wide adoption. View this paper
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Articles (31)

  • Article
  • Open Access
22 Citations
3,880 Views
22 Pages

Integration of an Innovative Atmospheric Forecasting Simulator and Remote Sensing Data into a Geographical Information System in the Frame of Agriculture 4.0 Concept

  • Giuliana Bilotta,
  • Emanuela Genovese,
  • Rocco Citroni,
  • Francesco Cotroneo,
  • Giuseppe Maria Meduri and
  • Vincenzo Barrile

In a world in continuous evolution and in which human needs grow exponentially according to the increasing world population, the advent of new technologies plays a fundamental role in all fields of industry, especially in agriculture. Optimizing time...

  • Article
  • Open Access
3,182 Views
21 Pages

Comparative Analysis of Primary and Secondary Metabolites in the Peel of Eight Blood Orange Varieties

  • Pablo Melgarejo,
  • Manuel Ballesta-de los Santos,
  • Juan José Martínez-Nicolás,
  • Amparo Melián-Navarro,
  • Antonio Ruíz-Canales,
  • María Ángeles Forner-Giner and
  • Pilar Legua

The global cultivation of blood oranges is experiencing an increase due to their remarkable nutritional properties. Blood orange by-products, especially the peel, have a high concentration of bioactive compounds with exceptional antioxidant potential...

  • Technical Note
  • Open Access
5 Citations
2,225 Views
16 Pages

Plastic contamination in marketable cotton bales, predominantly from plastic wraps used in John Deere round module harvesters, poses a significant challenge to the U.S. cotton industry. Despite rigorous manual efforts, the intrusion of plastic into t...

  • Article
  • Open Access
7 Citations
5,387 Views
17 Pages

The purpose of this article is to identify opportunities that digital transformation in post-harvest activities offers to an engineering solution provider. The research method is a simple case study. The object is a company based in southern Brazil t...

  • Technical Note
  • Open Access
5 Citations
2,662 Views
10 Pages

The Ear Unwrapper: A Maize Ear Image Acquisition Pipeline for Disease Severity Phenotyping

  • Owen Hudson,
  • Dylan Hudson,
  • Colin Brahmstedt and
  • Jeremy Brawner

Fusarium ear rot (FER) is a common disease in maize caused by the pathogen Fusarium verticillioides. Because of the quantitative nature of the disease, scoring disease severity is difficult and nuanced, relying on various ways to quantify the damage...

  • Article
  • Open Access
18 Citations
4,777 Views
20 Pages

Characterizing and Predicting the Quality of Milled Rice Grains Using Machine Learning Models

  • Letícia de Oliveira Carneiro,
  • Paulo Carteri Coradi,
  • Dágila Melo Rodrigues,
  • Roney Eloy Lima,
  • Larissa Pereira Ribeiro Teodoro,
  • Rosana Santos de Moraes,
  • Paulo Eduardo Teodoro,
  • Marcela Trojahn Nunes,
  • Marisa Menezes Leal and
  • Lhais Rodrigues Lopes
  • + 4 authors

Physical classification is the procedure adopted by the rice unloading, delivery, storage, and processing units for the commercial characterization of the quality of the grains. This step occurs mostly by the conventional method, which demands more t...

  • Article
  • Open Access
7 Citations
3,683 Views
18 Pages

Effects of Bicarbonate Addition and N:P Ratio on Microalgae Growth and Resource Recovery from Domestic Wastewater

  • Mariana Daniel Tango,
  • José Antônio Zanetoni Filho,
  • Luiz Antonio Daniel,
  • Luan de Souza Leite,
  • Maria Teresa Hoffmann and
  • Fellipe Henrique Martins Moutinho

Nutrient availability plays a crucial role in microalgae growth in domestic wastewater. In this study, we investigated the impact of different nitrogen and phosphorus ratios (5:1, 10:1, and 20:1, m∙m−1), and the addition of inorganic carb...

  • Article
  • Open Access
2 Citations
2,907 Views
15 Pages

Soil Attributes Mapping with Online Near-Infrared Spectroscopy Requires Spatio-Temporal Local Calibrations

  • Ricardo Canal Filho,
  • José Paulo Molin,
  • Marcelo Chan Fu Wei and
  • Eudocio Rafael Otavio da Silva

Building machine learning (ML) calibrations using near-infrared (NIR) soil spectroscopy direct in agricultural areas (online NIR), soil attributes can be fine-scale mapped in a faster and more cost-effective manner, guiding management decisions to en...

  • Article
  • Open Access
4 Citations
2,430 Views
16 Pages

Spatiotemporal Dynamics of Land Use and Land Cover through Physical–Hydraulic Indices: Insights in the São Francisco River Transboundary Region, Brazilian Semiarid Area

  • Lizandra de Barros de Sousa,
  • Abelardo Antônio de Assunção Montenegro,
  • Marcos Vinícius da Silva,
  • Pabrício Marcos Oliveira Lopes,
  • José Raliuson Inácio Silva,
  • Thieres George Freire da Silva,
  • Frederico Abraão Costa Lins and
  • Patrícia Costa Silva

This article presents a study on the spatiotemporal dynamics of land cover and use, vegetation indices, and water content in the semiarid region of Pernambuco, Brazil. This study is based on an analysis of satellite images from the years 2016, 2018,...

  • Article
  • Open Access
3 Citations
2,416 Views
11 Pages

Visualization of Lidar-Based 3D Droplet Distribution Detection for Air-Assisted Spraying

  • Zhichong Wang,
  • Yang Zhang,
  • Tian Li,
  • Joachim Müller and
  • Xiongkui He

Air-assisted spraying is a commonly used spraying method for orchard plant protection operations. However, its spraying parameters have complex effects on droplet distribution. The lack of large-scale 3D droplet density distribution measurement metho...

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AgriEngineering - ISSN 2624-7402