Smart Agriculture: Cloud Data Control Platform

Welcome to this Special Issue on "Smart Agriculture: Cloud Data Control Platform." The agricultural sector is undergoing a profound digital transformation, driven by IoT devices, sensors, and drones that generate unprecedented volumes of data. This shift to smart agriculture promises enhanced productivity, improved sustainability, and greater resource efficiency.

However, harnessing this data deluge is a significant challenge. This is where cloud data control platforms become critical. These platforms provide the essential infrastructure for collecting, storing, processing, and analyzing farm data in real-time. They are the brains behind precision irrigation, automated machinery, and data-driven decision-making.

This Special Issue explores the latest advancements and persistent challenges in developing and deploying these platforms. We delve into topics ranging from system architecture and data interoperability to security, scalability, and the application of AI. The articles within highlight innovative solutions that are paving the way for a more connected and intelligent agricultural future.

The rapid growth of digital farming has led to the integration of cloud-based platforms for data collection, processing, and decision-making in agriculture. Historically, precision agriculture relied on standalone systems, but advancements in IoT, AI, and big data have enabled seamless, scalable cloud infrastructures to support smarter farm management.

This Special Issue aims to explore innovative cloud architectures, data control mechanisms, and automation solutions that enhance productivity, sustainability, and resilience in agriculture. The scope includes platform design, data interoperability, real-time analytics, edge–cloud collaboration, cybersecurity, and practical applications in crop, livestock, and resource management.

We invite cutting-edge research showcasing advanced technologies such as machine learning, digital twins, blockchain, remote sensing integration, and AI-driven decision support systems.

We are soliciting original research articles, reviews, technical reports, and case studies focusing on system development, field validation, performance optimization, and multidisciplinary approaches that bridge ICT and agriculture to build intelligent, connected farming ecosystems.

Dr. Mino Sportelli
Dr. Alexander Kocian
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Agronomy 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 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.