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AgriEngineering, Volume 3, Issue 2

2021 June - 20 articles

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Articles (20)

  • Article
  • Open Access
17 Citations
4,996 Views
9 Pages

From Conventional to Precision Fertilization: A Case Study on the Transition for a Small-Medium Farm

  • Massimo Brambilla,
  • Elio Romano,
  • Pietro Toscano,
  • Maurizio Cutini,
  • Marcello Biocca,
  • Chiara Ferré,
  • Roberto Comolli and
  • Carlo Bisaglia

At the CREA research facility of Treviglio (Bergamo, Italy), to provide farmers with valuable hints for the transition from conventional to precision agriculture, information on crop production dynamics (Maize and Triticale) has been obtained using r...

  • Article
  • Open Access
11 Citations
4,462 Views
15 Pages

Low-cost GPS (Global Positioning System) speed sensors have been available to quantify vehicle speed on different platforms including agricultural tractors in precision agriculture applications such as yield monitoring, variable rate fertilizer and p...

  • Article
  • Open Access
8 Citations
8,334 Views
20 Pages

Design, Development, and Performance Evaluation of a Power-Operated Jute Fiber Extraction Machine

  • Md. Rejaul Karim,
  • Muhammad Arshadul Hoque,
  • Alamgir Chawdhury,
  • Faruk-Ul-Islam,
  • Sharif Ahmed,
  • Ayman EL Sabagh and
  • Akbar Hossain

Jute is the golden fiber of Bangladesh, but its production is declining due to the involvement of higher production and processing costs, where a major portion of the cost is needed for fiber extraction. Labor unavailability and increasing labor cost...

  • Article
  • Open Access
12 Citations
5,531 Views
9 Pages

Movement Analysis to Associate Broiler Walking Ability with Gait Scoring

  • Danilo Florentino Pereira,
  • Irenilza de Alencar Nääs and
  • Nilsa Duarte da Silva Lima

The genetic development of the commercial broiler has led to body misconfiguration and consequent walking disabilities, mainly at the slaughter age. The present study aimed to identify broiler locomotion ability using image analysis automatically. A...

  • Article
  • Open Access
2 Citations
4,272 Views
11 Pages

The present study investigates the effect of intercropping (maize-cowpea, maize-okra, maize-okra-cowpea, okra-cowpea) compared to insecticide application on the level of infestation of insect pests and the final yield of maize, cowpea and okra. Field...

  • Article
  • Open Access
7 Citations
6,342 Views
20 Pages

Harvester Evaluation Using Real-Time Kinematic GNSS and Hiring Service Model

  • Md. Kamrul Hasan,
  • Takashi S. T. Tanaka,
  • Md. Rostom Ali,
  • Chayan Kumer Saha and
  • Md. Monjurul Alam

To reduce human drudgery and the risk of labor shortages in the Asian developing countries, the appropriate introduction of agricultural machinery, especially combine harvesters, is an urgent task. Custom hiring services (CHSs) are expected to contri...

  • Article
  • Open Access
8 Citations
5,191 Views
16 Pages

Cotton Emergence and Yield Response to Planter Depth and Downforce Settings in Different Soil Moisture Conditions

  • Simerjeet Virk,
  • Wesley Porter,
  • John Snider,
  • Glen Rains,
  • Changying Li and
  • Yangxuan Liu

US cotton producers are motivated to optimize planter performance to ensure timely and uniform stand establishment early in the season, especially when planting in sub-optimal field conditions. Field studies were conducted in 2017, 2018 and 2019 to e...

  • Commentary
  • Open Access
38 Citations
11,534 Views
24 Pages

Opportunities for Robotic Systems and Automation in Cotton Production

  • Edward Barnes,
  • Gaylon Morgan,
  • Kater Hake,
  • Jon Devine,
  • Ryan Kurtz,
  • Gregory Ibendahl,
  • Ajay Sharda,
  • Glen Rains,
  • John Snider and
  • Greg Holt
  • + 12 authors

Automation continues to play a greater role in agricultural production with commercial systems now available for machine vision identification of weeds and other pests, autonomous weed control, and robotic harvesters for fruits and vegetables. The gr...

  • Article
  • Open Access
6 Citations
3,592 Views
10 Pages

Predicting Key Grassland Characteristics from Hyperspectral Data

  • Patrick Jackman,
  • Thomas Lee,
  • Michael French,
  • Jayadeep Sasikumar,
  • Patricia O’Byrne,
  • Damon Berry,
  • Adrian Lacey and
  • Robert Ross

A series of experiments were conducted to measure and quantify the yield, dry matter content, sugars content, and nitrates content of grass intended for ensilement. These experiments took place in the East Midlands of Ireland during the Spring, Summe...

  • Article
  • Open Access
338 Citations
23,649 Views
19 Pages

Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques

  • Muhammad E. H. Chowdhury,
  • Tawsifur Rahman,
  • Amith Khandakar,
  • Mohamed Arselene Ayari,
  • Aftab Ullah Khan,
  • Muhammad Salman Khan,
  • Nasser Al-Emadi,
  • Mamun Bin Ibne Reaz,
  • Mohammad Tariqul Islam and
  • Sawal Hamid Md Ali

Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. Early detection of plant dis...

  • Article
  • Open Access
15 Citations
4,210 Views
16 Pages

Press-wheels are wheels designed to compact the soil above seeds in the “seed cover” region. Soil compaction, produced by the press-wheels of seeders, affects seedling emergence and early plant growth. The Discrete Element Method (DEM) was used to mo...

  • Article
  • Open Access
4 Citations
3,377 Views
12 Pages

The objective of this paper was to quantify the economic and environmental effects of changing a dairy farm’s milking start times. Changing morning and evening milking start times could reduce both electricity costs and farm electricity related CO2 e...

  • Article
  • Open Access
6 Citations
6,129 Views
15 Pages

Fermentative digestion by ruminant livestock is one of the main ways enteric methane enters the atmosphere, although recent studies have identified that including red macroalgae as a feed ingredient can drastically reduce methane produced by cattle....

  • Article
  • Open Access
17 Citations
4,242 Views
11 Pages

Dicamba Injury on Soybean Assessed Visually and with Spectral Vegetation Index

  • Matheus Gregorio Marques,
  • João Paulo Arantes Rodrigues da Cunha and
  • Ernane Miranda Lemes

The recent availability of soybean cultivars with resistance to dicamba herbicide has increased the risk of injury in susceptible cultivars, mainly as a result of particle drift. To predict and identify the damage caused by this herbicide requires gr...

  • Article
  • Open Access
3 Citations
3,690 Views
12 Pages

Automatic Supplement Weighing Units for Monitoring the Time of Accessing Mineral Block Supplements by Rangeland Cattle in Northern Queensland, Australia

  • Gamaliel Simanungkalit,
  • Graeme Bremner,
  • Frances Cowley,
  • Jamie Barwick,
  • Bradley Dawson,
  • Robin Dobos and
  • Roger Hegarty

Time spent feeding by grazing cattle is an important predictor of intake and feed efficiency. This study examined the use of automatic supplement weighing (ASW) units for monitoring voluntary access of breeding cows (n = 430) to mineral block supplem...

  • Article
  • Open Access
6 Citations
3,739 Views
10 Pages

Evaluation of Drift-Reducing Nozzles for Pesticide Application in Hazelnut (Corylus avellana L.)

  • Marcello Biocca,
  • Maurizio Cutini,
  • Elio Romano,
  • Federico Pallottino and
  • Pietro Gallo

Spraying pesticides using air induction nozzles is a well-known method to reduce drift. These drift-reducing nozzles have been tested on many different tree crops (such as apples, citrus, and grapes), but we are still lacking information on their uti...

  • Article
  • Open Access
21 Citations
7,123 Views
19 Pages

CHAP: Cotton-Harvesting Autonomous Platform

  • Joe Mari Maja,
  • Matthew Polak,
  • Marlowe Edgar Burce and
  • Edward Barnes

The US cotton industry provided over 190,000 jobs and more than $28 billion total economic contributions to the United States in 2012. The US is the third-largest cotton-producing country in the world, following India and China. US cotton producers h...

  • Article
  • Open Access
24 Citations
6,503 Views
17 Pages

Prediction of Rice Cultivation in India—Support Vector Regression Approach with Various Kernels for Non-Linear Patterns

  • Kiran Kumar Paidipati,
  • Christophe Chesneau,
  • B. M. Nayana,
  • Kolla Rohith Kumar,
  • Kalpana Polisetty and
  • Chinnarao Kurangi

The prediction of rice yields plays a major role in reducing food security problems in India and also suggests that government agencies manage the over or under situations of production. Advanced machine learning techniques are playing a vital role i...

  • Article
  • Open Access
24 Citations
8,003 Views
14 Pages

RFID and Drones: The Next Generation of Plant Inventory

  • Jannette Quino,
  • Joe Mari Maja,
  • James Robbins,
  • R. Thomas Fernandez,
  • James S. Owen and
  • Matthew Chappell

Collection of plant inventory (i.e., count, grade, plant size, yield) data is time-consuming, costly, and can be inaccurate. In response to increasing labor costs and shortages, there is an increased need for the adoption of more automated technologi...

  • Concept Paper
  • Open Access
6 Citations
3,630 Views
10 Pages

Rapid Truck Loading for Efficient Feedstock Logistics

  • Robert “Bobby” Grisso,
  • John Cundiff and
  • Subhash C. Sarin

A multi-bale handling unit offers an advantage for the efficient hauling of round bales. Two empty racks on trailers are left at a satellite storage location for loading while a truck tractor delivers two loaded racks to the biorefinery, thus uncoupl...

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AgriEngineering - ISSN 2624-7402