AI, IoT and Smart Sensors for Precision Agriculture: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Smart Agriculture".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 385
Special Issue Editors
Interests: artificial intelligence (AI) for autonomous decision making for IoT based applications in smart farming, smart cities etc.; precision livestock; remote sensing; application of IoT and UAVs for smart farming; UAV image processing; deep learning alogrithms; AI for facial recognition; AI for fraud detection; AI for drowsiness detection for safe driving
Special Issues, Collections and Topics in MDPI journals
Interests: acoustic sensors; passive ultrasonic sensors; piezoelectric sensors; MEMS; resonators; microfabrication; microsystems; low-power design; always-on sensor systems; passive sensing; near-zero sensing; wake-up sensing; sensor interfaces; sensor front-ends; embedded electronics; near-sensor processing; algorithms on embedded processors; hardware implementation of algorithms on FPGA; digital signal processing on energy-constrained devices; machine learning on low-power hardware; application domains of agriculture; medicine; biology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In "The 2030 Agenda for Sustainable Development", the United Nations (UN) and the international community set the target of eliminating global hunger by 2030. However, the world’s population is anticipated to reach to 10 billion by 2050, as per a 2018 report by the World Resources Institutes (WRI). Hence, to fulfill this anticipated increase in food demand, the use of artificial intelligence (AI)-, IoT- and smart sensor-based precision agriculture and precision livestock is inevitable. The aims of precision agriculture and livestock are to improve productivity, increase yields and profitability and reduce environmental footprints through techniques such as efficient irrigation, the targeted and precise use of pesticides and fertilizers for crops, and the vaccination scheduling and tracking of livestock. The implementation of AI, IoT and smart sensors can bring promising developments and innovations to agricultural sectors through data science, computer vision and deep learning-based algorithms.
The main purpose of this Special Issue is to identify and report innovative and novel research outcomes on the application of AI, IoT, smart sensors, machine learning, deep learning, remote sensing and autonomous systems in smart farming and precision livestock. At the same time, we welcome contributions on the use of advanced sensors, sensing systems and field instrumentation in smart agriculture.
Contributions may include, but are not limited to, the use of autonomous tractors, sprinklers and other instruments; infestation detection and removal using UAV images; crop health monitoring and yield prediction; smart and autonomous irrigation; soil mapping and fertilizer advisories; vegetation stress identification; livestock monitoring; tracking and controlling; vaccination scheduling of livestock; and the use of big data and high-performance computing for agriculture and livestock.
Dr. Nahina Islam
Dr. Dinko Oletic
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- IoT
- sensors
- precision agriculture
- precision livestock
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Related Special Issue
- AI, IoT and Smart Sensors for Precision Agriculture in Sensors (17 articles)
