Digital Agroecology: Sensor and Data Technologies to Promote Regenerative Food Systems

A special issue of AgriEngineering (ISSN 2624-7402).

Deadline for manuscript submissions: closed (15 January 2026) | Viewed by 1379

Special Issue Editors


E-Mail Website
Guest Editor
GEO-K S.r.l., Via del Politecnico 1, Rome, Italy
Interests: sensors and biosensors; in vitro toxicity testing; milk monitoring; food safety; food biotechnology; remote sensing; planetary health
Special Issues, Collections and Topics in MDPI journals

E-Mail Website1 Website2
Guest Editor
Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria—CREA, Centro di Ricerca Ingegneria e Trasformazioni Agroalimentari, Via della Pascolare 16, 00015 Monterotondo, Italy
Interests: agricultural engineering; crop protection; mechanization in urban-forestry and in organic agriculture; work safety; design and developing of innovative machinery
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Council for Agricultural Research and Economics, Research Centre for Agricultural Policies and Bioeconomy, Viale della Toscana 21, 50127 Firenze, Italy
Interests: agricultural economics; agricultural policy; agricultural knowledge and innovation systems; digitalization; agroecology; sustainability assessment; integrated assessment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Faced with global issues, including climate change, biodiversity loss, soil degradation, impaired water quality and reduced availability, overuse of agrochemicals, and rising greenhouse gas emissions, smallholder farmers often bear the greatest burden. These challenges are even more pressing for rural areas and communities in developing countries, where severe resource constraints are common. Investing in strengthening small-scale agriculture worldwide presents a key opportunity not only to address these global issues but also to improve the livelihoods of millions of farmers and their communities.

In this context, agroecology offers a promising pathway toward the development of resilient and regenerative food systems. Agroecology encompasses a wide range of practices, such as agroforestry, permaculture, mycoagroecology, rainwater harvesting, integrated pest management, and aquaponics, all of which promote sustainability by integrating ecological principles into farming. As a holistic approach, agroecology also emphasizes the social and economic dimensions of food production. It fosters the co-creation and sharing of knowledge, promotes cultural and food traditions and diversity, and advocates for social equity, fairness, and synergies.

However, the application of agroecological practices is still limited; they are often implemented on a small scale and face barriers to broader implementation, including a lack of extensive scientific validation. This lack of scientific evidence can also contribute to the reluctance of smallholder farmers to incorporate agroecological practices into their production systems due to concerns about efficacy and potential financial risks.

The increasing use of sensor and data technologies in optimizing resource use, improving productivity, and reducing the environmental impact of farming production—including practices known as “precision farming” and “Agriculture 4.0”—could play a transformative role in advancing regenerative food systems based on agroecological practices.

In the near future, the continued development and application of sensor and data technologies, along with complementary technological tools (e.g., high-throughput sequencing and metagenomics), could serve as key drivers in facilitating the adoption of agroecological models and regenerative food systems, scaling them beyond the small farm level and contributing to the democratization of digital agroecological solutions for sustainable, safe, and nutritious food production. However, enabling policy frameworks are needed to bring agroecological approaches to scale.

This Special Issue aims to highlight advancements in sensor and data technologies that support agroecological practices. We invite you to submit original research articles and reviews (interdisciplinary submissions are especially welcome) on any aspect related to the use and integration of innovative practices and cutting-edge technologies (including socio-economic, policy, and impact assessment dimensions) for the monitoring and optimization of regenerative agriculture and livestock farming systems. Topics of interest include, but are not limited to, the following research areas:

  • Remote sensing technologies (satellite remote sensing and UAV remote sensing);
  • Ground-based proximal sensing (e.g., soil sensors, water sensors, weather stations, plant sensors, livestock wearables);
  • Biosensors
  • Scalable next-generation sequencing (NGS) methods;
  • Metagenomics;
  • Internet of Things (IoT);
  • GPS and GIS technologies;
  • Artificial intelligence (AI), machine learning (ML), and deep learning (DL);
  • Big data cloud computing and blockchain;
  • Agroforestry (silvopasture and forest farming);
  • Permaculture;
  • Multiple cropping practices (intercropping, polyculture including hedgerows, buffer strips, and cover crops);
  • Mycoagroecology and mycosilviculture;
  • Korean natural farming;
  • Rainwater harvesting;
  • Integrated pest management, uses of plant biostimulants, and plant resistance inducers;
  • Sustainable livestock production (livestock grazing systems and agropastoral systems);
  • Integrated agri-aquaculture and livestock–fish farming systems (aquaponics, integrated fish farming).

We look forward to receiving your contributions.

Dr. Gerardo Grasso
Dr. Marcello Biocca
Dr. Oriana Gava
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. AgriEngineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • agroecology
  • soil microbiome
  • aquaponics
  • sustainable livestock production
  • precision farming
  • remote sensing
  • sensors and biosensors
  • high-throughput sequencing
  • artificial intelligence
  • big data cloud computing

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 3005 KB  
Article
Methodological Advancement in Resistive-Based, Real-Time Spray Deposition Assessment with Multiplexed Acquisition
by Ayesha Ali, Lorenzo Becce, Andreas Gronauer and Fabrizio Mazzetto
AgriEngineering 2026, 8(1), 3; https://doi.org/10.3390/agriengineering8010003 - 1 Jan 2026
Viewed by 379
Abstract
The use of agrochemicals remains indispensable for ensuring fruit production; however, their excessive or inefficient application poses significant environmental and health concerns. Rapid detection of spray deposition is crucial for assessing sprayer performance, improving precision application, and reducing drift and chemical waste. In [...] Read more.
The use of agrochemicals remains indispensable for ensuring fruit production; however, their excessive or inefficient application poses significant environmental and health concerns. Rapid detection of spray deposition is crucial for assessing sprayer performance, improving precision application, and reducing drift and chemical waste. In this context, real-time monitoring technologies represent a promising tool to promote sustainable and efficient crop protection practices. This study refines previous experiences with an array of resistive sensors to quickly measure spray deposition. First, a multi-point calibration curve is introduced to improve the sensors’ accuracy. Furthermore, a multiplexed acquisition system (Sciospec ISX-5) is employed to enable time-resolved measurements of the whole sensor array. The method is validated by spectrophotometry and weight measurements. Wind tunnel trials with fluorescein (FLU) and fluorescein + potassium chloride (FLU + KCl) tracing solutions were conducted. The conductivity of the latter was higher than the former, without biasing the measurement. Both tracers showed good correlation between deposition and conductivity (R2 = 0.997 for FLU and 0.995 for FLU + KCl), and the maximum deviation from the spectrophotometric estimates was <10%. Time-resolved measurement showed the build-up of deposition over time, potentially indicating the dimensional composition of the sprayed cloud. The improved workflow provides array-wide, sequential deposition measurements, enabling faster on-site acquisition and efficient analysis. The results demonstrate strong potential for scaling the method to field applications, supporting its further development into real-time deposition mapping tools that could guide precision spraying, optimize agrochemical use, and reduce environmental drift. Full article
Show Figures

Figure 1

Back to TopTop