Agriculture 4.0: Internet of Things and Digital Agriculture
A special issue of AgriEngineering (ISSN 2624-7402). This special issue belongs to the section "Computer Applications and Artificial Intelligence in Agriculture".
Deadline for manuscript submissions: 15 March 2027 | Viewed by 29
Special Issue Editors
Interests: precision irrigation; remote sensing; aeroponic systems; Internet of Things (IoT); artificial intelligence (AI); image processing; ground-based sensors
Special Issue Information
Dear Colleagues,
Agriculture 4.0 represents the digital transformation of farming through the integration of Internet of Things (IoT) technologies, creating a new era of smart and precision agriculture. This technological revolution connects sensors, drones, autonomous machinery, and data analytics platforms to optimize farming operations across the entire agricultural value chain.
IoT-enabled solutions provide real-time monitoring of soil conditions, crop health, weather patterns, and irrigation water management, enabling farmers to make data-driven decisions that enhance productivity while reducing resource consumption. Key applications include precision farming with targeted irrigation systems that reduce water usage through soil moisture sensors and automated watering schedules, smart greenhouses with automated climate control, and advanced aeroponic systems that deliver nutrient-rich mist directly to plant roots without soil. These soilless cultivation technologies utilize IoT sensors to monitor pH levels, nutrient concentration, humidity, and temperature, achieving high water efficiency compared to traditional farming methods. AI and machine learning enhance predictive capabilities for irrigation scheduling and crop water requirements, while advanced wireless protocols enable reliable connectivity across vast sensor networks in fields and aeroponic facilities. Despite connectivity challenges and high initial costs, Agriculture 4.0 addresses water scarcity through intelligent irrigation and aeroponic systems that optimize growing conditions with minimal waste.
Dr. Osama Elsherbiny
Dr. Mosab Hamdan
Guest Editors
Manuscript Submission Information
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Keywords
- Agriculture 4.0
- IoT
- precision agriculture
- sensors
- drones
- data analytics
- soil monitoring
- crop health
- irrigation
- water management
- smart greenhouses
- aeroponics
- nutrient monitoring
- AI
- machine learning
- wireless protocols
- water scarcity
- sustainability
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