MDPI

AgriEngineering Template

Write in a clean editor, then format for AgriEngineering in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the AgriEngineering format

AgriEngineering is a peer-reviewed journal published by MDPI, covering Smart Agriculture and AI, Remote Sensing in Agriculture, Spectroscopy and Chemometric Analyses. Over its lifetime it has published 1,383 papers, which have received 10,537 citations.

PublisherMDPI
Reference styleNumbered (MDPI)
Numbered — [1], [2] in the text
1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. AgriEngineering 2023, 12, 45–58.

Formats any DOI in AgriEngineering style. No sign-up.

Publishes research inSmart Agriculture and AI Remote Sensing in Agriculture Spectroscopy and Chemometric Analyses Soil Mechanics and Vehicle Dynamics Greenhouse Technology and Climate Control
ISSN2624-7402
Citation impact (2-yr)3.35
h-index39
i10-index252
Article processing charge$1,299
Open accessYes — indexed in DOAJ
Top institutions publishing hereUniversidade Estadual Paulista (Unesp)
Journal websitewww.mdpi.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in AgriEngineering per year

5
2018
37
2019
42
2020
62
2021
80
2022
147
2023
289
2024
428
2025

Citation impact of AgriEngineering by publication year

47
2018
892
2019
1.2K
2020
1.7K
2021
1.4K
2022
1.8K
2023
1.8K
2024
1.3K
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in AgriEngineering

Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques

Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar et al. · 20 May 2021

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 diseases using computer vision and artificial intelligence (AI) can help to reduce the adverse effects of diseases and…

Precision Irrigation Management Using Machine Learning and Digital Farming Solutions

Abiodun Emmanuel Abioye, Oliver Hensel, Travis J. Esau et al. · 1 Feb 2022

Freshwater is essential for irrigation and the supply of nutrients for plant growth, in order to compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the available freshwater. This underscores the importance of responsible management, using smart agricultural water technologies. The focus of this paper is to investigate research regarding the integration…

A Deep Learning Approach for Weed Detection in Lettuce Crops Using Multispectral Images

Kavir Osorio, Andrés Puerto, César Pedraza et al. · 28 Aug 2020

Weed management is one of the most important aspects of crop productivity; knowing the amount and the locations of weeds has been a problem that experts have faced for several decades. This paper presents three methods for weed estimation based on deep learning image processing in lettuce crops, and we compared them to visual estimations…

A Computational Procedure for the Recognition and Classification of Maize Leaf Diseases Out of Healthy Leaves Using Convolutional Neural Networks

Malusi Sibiya, Mbuyu Sumbwanyambe · 13 Mar 2019

Plant leaf diseases can affect plant leaves to a certain extent that the plants can collapse and die completely. These diseases may drastically decrease the supply of vegetables and fruits to the market, and result in a low agricultural economy. In the literature, different laboratory methods of plant leaf disease detection have been used. These…

Application of Edible Coating in Extension of Fruit Shelf Life: Review

Thanh Tung Pham, Lien Le Phuong Nguyen, Dam Sao et al. · 2 Mar 2023

In the past few decades, fruits have been increasingly consumed, leading to an increase in global fruit production. However, fresh produce is susceptible to large losses during production and preservation. In the postharvest preservation stage, fruits undergo various technical treatments for maintaining their quality. A widely adopted technology is the application of edible coatings, which…

AgriEngineering template — frequently asked questions

How do I write a paper in the AgriEngineering format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the AgriEngineering template. When you export, DocuGuru compiles the paper into the official MDPI format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does AgriEngineering use?
AgriEngineering uses Numbered (MDPI) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. AgriEngineering 2023, 12, 45–58.
Do I need to know LaTeX to submit to AgriEngineering?
No. DocuGuru generates the mdpi LaTeX class and compiles the PDF for you in the background, so you get a MDPI-ready AgriEngineering document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the AgriEngineering template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the AgriEngineering format with correct headings, figures, tables, and numbered citations.
What is AgriEngineering?
AgriEngineering - MDPI Journal. It is a multidisciplinary journal, published by MDPI.
Can I export a submission-ready AgriEngineering PDF?
Yes — DocuGuru produces a PDF built with the official AgriEngineering template (the mdpi class) that is ready to submit to MDPI, together with the matching LaTeX source files.
How much does the AgriEngineering template cost?
You can start writing in the AgriEngineering template for free. Exporting the final submission-ready AgriEngineering PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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