AgriEngineering MDPI

26/09/2025

📊 AgriEngineering has maintained its CiteScore of 4.7 (Scopus, 2024).

A steady score reflects the consistent quality of work by our authors, reviewers, and editors.

Check our website at:🔗 https://shorturl.at/SNjBX

03/09/2025

🚨 New Special Issue is online: "Agricultural and Biosystems Engineering for Implementing the Circular Economy Concept in Agriculture"

Guest Editors: Pietro Picuno, Salvatore Margiotta and Roberto Puglisi from Università degli Studi della Basilicata

🖇️ More information: https://shorturl.at/gaT1p

Dear Colleagues,

Agricultural and Biosystems Engineering provides agricultural actors with the knowledge and skills required to use advanced technologies that can transform waste into new resources, thus contributing to the implementation of the Circular Economy concept in agriculture. Indeed, by managing organic (biomass) and non-organic (mostly, agro-plastics) waste, farmers can increase their economic returns while reducing the environmental footprint of agriculture. This Special Issue reports the results of scientific research and training activities carried out by Agricultural Engineers—mostly those implemented within the TANGO-Circular Project, in which farmers and agricultural stakeholders were trained on the appropriate use, post-consumer collection, and recycling of agricultural co-products, by-products, residuals, and waste. Their upskilling allowed them to play a proactive role in the valorization of agricultural waste, which was consolidated thanks to the participation of other interested actors involved in the Quadruple-Helix, including public institutions, private industries, universities/research centers, and civil society/non-profit organizations. During the Project Final Conference, held in Matera, Italy, on 25–27 June 2025, several European universities specializing in Agricultural and Biosystems Engineering presented data on the latest technologies and systems for valorizing agricultural waste, discussing on how to implement and harmonize them, thus shading light on cutting-edge technological solutions and creating innovative opportunities in agricultural waste valorization.

🖇️ More information: https://shorturl.at/gaT1p

27/08/2025

🌱 New Article: "Automated -Based Monitoring of Industrial H**p in Using Open-Source Systems and "

Authors: Carmen Rocamora Osorio, Fernando Aragón Rodríguez, Ana Maria Codes Alcaraz and Francisco-Javier Ferrández-Pastor

📢 "We've developed an open-source computer vision system to monitor greenhouse h**p! It uses sensors and cameras to track growth and it detects water stress with 97% accuracy."

🖇️ Read it in : https://bit.ly/3HFEv6B

Abstract: Monitoring the development of greenhouse crops is essential for optimising yield and ensuring the efficient use of resources. A system for monitoring h**p (Cannabis sativa L.) cultivation under greenhouse conditions using computer vision has been developed. This system is based on open-source automation software installed on a single-board computer. It integrates various temperature and humidity sensors and surveillance cameras, automating image capture. H**p seeds of the Tiborszallasi variety were sown. After germination, plants were transplanted into pots. Five specimens were selected for growth monitoring by image analysis. A surveillance camera was placed in front of each plant. Different approaches were applied to analyse growth during the early stages: two traditional computer vision techniques and a deep learning algorithm. An average growth rate of 2.9 cm/day was determined, corresponding to 1.43 mm/°C day. A mean MAE value of 1.36 cm was obtained, and the results of the three approaches were very similar. After the first growth stage, the plants were subjected to water stress. An algorithm successfully identified healthy and stressed plants and also detected different stress levels, with an accuracy of 97%. These results demonstrate the system’s potential to provide objective and quantitative information on plant growth and physiological status.

🖇️ Read it in : https://bit.ly/3HFEv6B

Monitoring the development of greenhouse crops is essential for optimising yield and ensuring the efficient use of resources. A system for monitoring h**p (Cannabis sativa L.) cultivation under greenhouse conditions using computer vision has been developed. This system is based on open-source automa...

25/07/2025

🚨 Volume 7, Issue 6 released!

🚜 All 35 Articles published in AgriEngineering, Volume 7, Issue 6 (June 2025) are available in on:

🖇️ https://bit.ly/45d55vI

09/07/2025

📄 New paper online: Stone Detection on Agricultural Land Using Thermal Imagery from Unmanned Aerial Systems

Authors: Florian Thürkow, Mike Teucher, Detlef Thürkow and Milena Mohri

🖇️ Read it in : https://bit.ly/4lKwHPl

Abstract: Stones in agricultural fields pose a recurring challenge, particularly due to their potential to damage agricultural machinery and disrupt field operations. As modern agriculture moves toward automation and precision farming, efficient stone detection has become a critical concern. This study explores the potential of thermal imaging as a non-invasive method for detecting stones under varying environmental conditions. A series of controlled laboratory experiments and field investigations confirmed the assumption that stones exhibit higher surface temperatures than the surrounding soil, especially when soil moisture is high and air temperatures are cooling rapidly. This temperature difference is attributed to the higher thermal inertia of stones, which allows them to absorb and retain heat longer than soil, as well as to the evaporative cooling from moist soil. These findings demonstrate the viability of thermal cameras as a tool for stone detection in precision farming. Incorporating this technology with GPS mapping enables the generation of accurate location data, facilitating targeted stone removal and reducing equipment damage. This approach aligns with the goals of sustainable agricultural engineering by supporting field automation, minimizing mechanical inefficiencies, and promoting data-driven decisions. Thermal imaging thereby contributes to the evolution of next-generation agricultural systems.

🖇️ Read it in : https://bit.ly/4lKwHPl

Stones in agricultural fields pose a recurring challenge, particularly due to their potential to damage agricultural machinery and disrupt field operations. As modern agriculture moves toward automation and precision farming, efficient stone detection has become a critical concern. This study explor...

01/07/2025

🚀 New Section Launch in AgriEngineering!

🌿 Sustainable Bioresource and Bioprocess Engineering

🔧 Focused on engineering innovations in agricultural bioprocessing and bioresource utilization.

The Section Editor in Chief: Prof. Dr. Francesco Marinello

📝 Now open for submissions!

🔗 https://bit.ly/4lzD3RA

Key topics include engineering aspects of the following:

- Biofuels: production, modeling and other analyses of liquid and gaseous biofuels such as ethanol and biobutanol.

- Bioprocesses and Bioproducts: fermentation, biocatalysis, microbial and enzymatic processing, strain improvement and scale-up.

- Biomass Utilization: valorization of agricultural and industrial residues into energy, bioplastics, enzymes and platform chemicals.

- Environmental Protection: includes technologies for the biological treatment of waste, composting, anaerobic digestion and sustainable waste management.

- Thermochemical and Electrochemical Conversion: technologies for combustion, pyrolysis, gasification, catalysis and electrochemical valorization of biomass.

- Other Technological Systems: design and optimization of fermenters and bioreactors, bioprocess control, energy and mass balances and system integration.

- Sustainability Metrics: assessment of environmental impacts including carbon, water, energy, nitrogen and digitization footprints.

🔗 https://bit.ly/4lzD3RA

27/05/2025

👥 Meet AgriEngineering at the 60th Croatian and 20th International Symposium on Agriculture!
📆 1–6 June 2025
📌 Bol, Croatia

🙋‍♀️🙋‍♂️Our journal is excited to have the opportunity to connect with you in person.

More info: https://bit.ly/3HeHjXS

26/05/2025

☘️ The new Special Issue is online: "Digital Agroecology: Sensor and Data Technologies to Promote Regenerative Food Systems"

Editors: Gerardo Grasso, Marcello Biocca and Oriana Gava

Check more information and submit at:
🔗 https://bit.ly/4dzsdrW

13/05/2025

🚜 AgriEngineering's First Topical Collection: "Research Progress of Machinery Testing" is now online!

Editors: Prof. Dr. Kléber Pereira Lanças, Prof. Dr. Daniel Albiero, Prof. Dr. Alberto Kazushi Nagaoka and Prof. Dr. Francesco Marinello

📄 Read published papers or submit your own: https://brnw.ch/21wSBFr

21/03/2025

🚨 Volume 7, Issue 2 released!

🐔 All 27 Articles published in AgriEngineering, Volume 7, Issue 2 (February 2025) are available in on:

🖇️ https://bit.ly/4iow78E

26/02/2025

🛰️ New Article is online: "Integrating Statistical and Earth in Small Farming Systems for "

Authors: Theodore Tsiligiridis and Katerina Ainali from Γεωπονικό Πανεπιστήμιο Αθηνών - Agricultural University of Athens -Οfficial

🖇️Read it in : https://www.mdpi.com/3193706

"An integrated method for providing crop estimates in the context of small farming systems is developed and implemented. The combined data are derived from a novel (RS) approach, the geodatabase of farmers' declarations for subsidies, and official statistics. Fast monitoring of cultivation changes can also be mapped."

🖇️Read it in : https://www.mdpi.com/3193706

The present work unveils the role of small farming plots (less than 5 ha) in the context of food security. It determines their contribution by estimating the spatial distribution (location), the crop types (diversity), the crop area extent (acreage), and the yield (production), factors that remain u...

12/02/2025

🚨 Volume 6, Issue 4 released!

🍇 All 83 Articles published in AgriEngineering, Volume 6, Issue 4 (December 2024) are available in on:

🖇️ https://bit.ly/3CNYjlK