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Applications of Sensor Technology to Agri-Food Systems

This special issue belongs to the section “Artificial Intelligence and Digital Agriculture“.

Special Issue Information

Dear Colleagues, 

Data acquisition and associated means of automatic or semiautomatic identification are key sensor considerations in seeking effective solutions for resource use efficiency and food loss reduction within primary production and post-harvest handling of agricultural products along supply chains. In particular, new sensors are now available with reduced dimensions, reduced cost, and increased performance, which can be implemented and integrated into production systems, allowing an increase of data and eventually an increase of information. This is of great importance to support the digital transformation of agri-food systems, leading to the reduction of food loss on farm and the optimal use of production inputs. In order to exploit these results, authoritative studies associated with food production, harvesting, and postharvest handling practices are still needed to support the development and implementation of new solutions and best practices. This Special Issue will capture recent developments related to novel sensors and their proven or potential applications in the agri-food sector spanning fundamental scientific concepts, pilot use, and commercial sensing systems. Contributions are expected to deal with, but are not limited to, the following areas:

  • Soil, vegetation, air, and water sensors;
  • Sensors for determination of crop health status;
  • Monitoring of different growth stages of crops and phenotyping;
  • Early detection of diseases and pests;
  • Detection and identification of crops and weeds;
  • On the go sensing;
  • Non-destructive sensing;
  • Proximal and remote sensing;
  • Optical sensors and sensing systems;
  • Multispectral and hyperspectral sensors;
  • Fluorescence and thermal imaging;
  • Integration of sensors in agricultural machines;
  • Variable rate application;
  • Yield monitoring and mapping;
  • Multisensor systems, sensor fusion;
  • Sensors for detection of fruits and quality evaluation;
  • Wireless sensor networks;
  • IoT in agriculture and food sectors;
  • Smart sensor systems. 

Dr. Dimitrios Argyropoulos
Dr. Dimitrios S. Paraforos
Prof. Dr. Spyros Fountas
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. Agriculture is an international peer-reviewed open access semimonthly 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 2600 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

  • Soil, vegetation, air, and water sensors
  • Sensors for determination of crop health status
  • Monitoring of different growth stages of crops and phenotyping
  • Early detection of diseases and pests
  • Detection and identification of crops and weeds
  • On the go sensing
  • Non-destructive sensing
  • Proximal and remote sensing
  • Optical sensors and sensing systems
  • Multispectral and hyperspectral sensors
  • Fluorescence and thermal imaging
  • Integration of sensors in agricultural machines
  • Variable rate application
  • Yield monitoring and mapping
  • Multisensor systems, sensor fusion
  • Sensors for detection of fruits and quality evaluation
  • Wireless sensor networks
  • IoT in agriculture and food sectors
  • Smart sensor systems

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Agriculture - ISSN 2077-0472