Data Sensing Techniques and Processing Algorithms for Smart and Sustainable Agriculture

Dear Colleagues,

Technological developments have enabled agriculture to become smarter through the integration of a diverse array of sensing instruments and techniques used to measure, monitor, and manage crop and soil conditions. From proximal IoT devices to aerial and satellite-based remote sensing platforms, data is captured in various formats, across multiple resolutions and spectral ranges.

While these technologies generate vast amounts of raw data, their true value lies in how that data is processed and transformed into actionable insights. Effective data processing is essential to address critical agricultural challenges such as irrigation management, phenological monitoring, pest and disease detection, and adaptation to climate variability. Techniques may span from traditional statistical approaches to advanced artificial intelligence and machine learning models. Whether through one-time classifications or multitemporal analyses, these methods empower data-driven decision-making, ultimately contributing to more sustainable, efficient, and responsive farming practices.

This Special Issue seeks to highlight innovative research in data sensing and processing for agriculture. Submissions focused on the analysis, interpretation, and application of agricultural data using both conventional and cutting-edge techniques are welcomed. Topics of interest include, but are not limited to, the following:

• Internet of Things (IoT);
• Remote sensing (aerial, satellite, and UAV);
• Data processing and transformation techniques;
• Image processing and computer vision applications;
• Mathematical and statistical methods for data filtering, simplification, and pattern recognition;
• Artificial intelligence, machine learning, and deep learning;
• Convolutional neural networks (CNNs);
• Vision transformers (ViTs);
• Data classification and object detection;
• Time-series analysis;
• Decision support systems and platforms.

Dr. Telmo Adão
Dr. Emanuel Peres
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. Algorithms 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.