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AgriEngineering, Volume 5, Issue 4

December 2023 - 50 articles

Cover Story: Global nutrition hinges on the continuous production of fruits in agriculture. Innovations like computer vision, particularly in pre-harvest fruit image processing, enhance quality and cut costs. Notable progress in estimating production and robotic harvesting is evident. Precision agriculture stands to benefit from precise pre-harvest fruit crop production estimation, optimizing resource use. This work suggests a solution for evaluating orange production using image processing. A dataset featuring green oranges facilitates the development of a green–orange detector, adept at tracking and counting fruits directly from trees. The resulting labeled image database contributes to scientific and technological innovation. View this paper
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Articles (50)

  • Article
  • Open Access
3 Citations
2,357 Views
20 Pages

Coffee Growing with Remotely Piloted Aircraft System: Bibliometric Review

  • Nicole Lopes Bento,
  • Gabriel Araújo e Silva Ferraz,
  • Lucas Santos Santana and
  • Mirian de Lourdes Oliveira e Silva

15 December 2023

Remotely piloted aircraft systems (RPASs) have gained prominence in recent decades primarily due to their versatility of application in various sectors of the economy. In the agricultural sector, they stand out for optimizing processes, contributing...

  • Article
  • Open Access
8 Citations
6,025 Views
19 Pages

Harnessing Solar Energy: A Novel Hybrid Solar Dryer for Efficient Fish Waste Processing

  • Mohamed Deef,
  • Helal Samy Helal,
  • Islam El-Sebaee,
  • Mohammad Nadimi,
  • Jitendra Paliwal and
  • Ayman Ibrahim

15 December 2023

Facing severe climate change, preserving the environment, and promoting sustainable development necessitate innovative global solutions such as waste recycling, extracting value-added by-products, and transitioning from traditional to renewable energ...

  • Article
  • Open Access
6 Citations
2,799 Views
16 Pages

Dynamic Behavior Forecast of an Experimental Indirect Solar Dryer Using an Artificial Neural Network

  • Angel Tlatelpa Becerro,
  • Ramiro Rico Martínez,
  • Erick César López-Vidaña,
  • Esteban Montiel Palacios,
  • César Torres Segundo and
  • José Luis Gadea Pacheco

14 December 2023

This research presents the prediction of temperatures in the chamber of a solar dryer using artificial neural networks (ANN). The dryer is a forced-flow type and indirect. Climatic conditions, temperatures, airflow, and geometric parameters were cons...

  • Article
  • Open Access
9 Citations
3,773 Views
15 Pages

12 December 2023

Climate change is linked to CO2 emissions, the reduction of which has become a top priority. In response to these circumstances, scientists must constantly develop new technologies that increase fuel efficiency and reduce emissions. Agriculture today...

  • Article
  • Open Access
3 Citations
2,991 Views
13 Pages

Coconut Mesocarp Extracts to Control Fusarium musae, the Causal Agent of Banana Fruit and Crown Rot

  • Jesús Aidmir Yeikame Morelia-Jiménez,
  • Beatriz Montaño-Leyva,
  • Francisco Javier Blancas-Benitez,
  • Luz del Carmen Romero-Islas,
  • Porfirio Gutierrez-Martinez,
  • Luis Guillermo Hernandez-Montiel,
  • Pedro Ulises Bautista-Rosales and
  • Ramsés Ramón González-Estrada

11 December 2023

Crown rot, caused by Fusarium species, is the most devastating postharvest disease in bananas. Fungicides are traditionally applied as a postharvest treatment to control crown rot in bananas. However, there is a need to research environmentally frien...

  • Article
  • Open Access
18 Citations
4,099 Views
14 Pages

11 December 2023

During the 1950s, the Gros Michel species of bananas were nearly wiped out by the incurable Fusarium Wilt, also known as Panama Disease. Originating in Southeast Asia, Fusarium Wilt is a banana pandemic that has been threatening the multi-billion-dol...

  • Article
  • Open Access
15 Citations
6,902 Views
15 Pages

A Convolutional Neural Network Algorithm for Pest Detection Using GoogleNet

  • Intan Nurma Yulita,
  • Muhamad Farid Ridho Rambe,
  • Asep Sholahuddin and
  • Anton Satria Prabuwono

The primary strategy for mitigating lost productivity entails promptly, accurately, and efficiently detecting plant pests. Although detection by humans can be useful in detecting certain pests, it is often slower compared to automated methods, such a...

  • Article
  • Open Access
2 Citations
3,102 Views
17 Pages

Thermal Performance of a Flat-Plate Solar Collector for Drying Agricultural Crops

  • Fatema Al Kindi,
  • Talal Al-Shukaili,
  • Pankaj B. Pathare,
  • Farooq Al Jahwari,
  • Nasser Al-Azri and
  • Ohood Al Ghadani

In this study, the finite volume method was used to evaluate the thermal performance of a flat-plate solar collector used to dry agricultural crops. A 3D numerical model was created and used to predict the outlet air velocities and temperatures for t...

  • Article
  • Open Access
5 Citations
3,349 Views
23 Pages

Remote Sensing and Kriging with External Drift to Improve Sparse Proximal Soil Sensing Data and Define Management Zones in Precision Agriculture

  • Hugo Rodrigues,
  • Marcos B. Ceddia,
  • Gustavo M. Vasques,
  • Vera L. Mulder,
  • Gerard B. M. Heuvelink,
  • Ronaldo P. Oliveira,
  • Ziany N. Brandão,
  • João P. S. Morais,
  • Matheus L. Neves and
  • Sílvio R. L. Tavares

The precision agriculture scientific field employs increasingly innovative techniques to optimize inputs, maximize profitability, and reduce environmental impacts. Therefore, obtaining a high number of soil samples to make precision agriculture feasi...

  • Technical Note
  • Open Access
2 Citations
2,297 Views
12 Pages

Thermal Conditions of Laying Quail Sheds in Brazil

  • Evandro Menezes de Oliveira,
  • Sheila Tavares Nascimento,
  • João Victor do Nascimento Mós,
  • Lenilson da Fonseca Roza,
  • Juliana Beatriz Toledo and
  • Tatiana Carlesso dos Santos

This study was conducted to survey the level of technification of quail sheds in Brazil. Data from 25 quail farms (5 in each Brazilian region) were collected by image analysis of videos available on the Internet. The analyzed variables were farm loca...

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AgriEngineering - ISSN 2624-7402