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Precision Farming with Smart Sensors: Current State, Challenges and Future Outlook
Bonface O Manono1, Boniface Mwami2,3, Sylvester Mutavi4
1Colorado State University Extension, Fort Collins, CO 80523, USA.
Sensors (Basel, Switzerland)
|February 13, 2026
Summary
Smart sensor technologies are revolutionizing precision farming by integrating with the Internet of Things (IoT) and artificial intelligence (AI) for optimized yields and resource conservation. Addressing challenges like calibration and data privacy is key to their role in global food security.
Area of Science:
- Agricultural Science
- Environmental Science
- Computer Science
Background:
- Traditional agriculture struggles to meet global food demand due to population growth and environmental pressures.
- Precision farming offers a solution by integrating advanced technologies to enhance decision-making, optimize yields, and conserve resources.
- Smart sensor technologies are fundamental to precision farming, providing real-time data on soil, plant, and environmental conditions.
Purpose of the Study:
- To review the current status, challenges, and future prospects of smart sensor technologies in precision farming.
- To explore the transformative impact of integrating smart sensors with the Internet of Things (IoT) and artificial intelligence (AI) in agriculture.
- To highlight how these technologies optimize yield, conserve resources, and improve overall farm efficiency.
Main Methods:
- Review of existing literature and research on smart sensor technologies in precision farming.
- Analysis of the integration of smart sensors with IoT and AI platforms.
- Examination of various sensor types, their applications, and emerging innovations in agricultural data acquisition.
Main Results:
- Smart sensors, integrated with IoT and AI, significantly enhance agricultural data collection, analysis, and utilization.
- This integration leads to optimized crop yields, efficient resource management (water, fertilizers), and improved farm productivity.
- Various smart sensor types are applied across different aspects of farming, from soil monitoring to crop health assessment.
Conclusions:
- Smart sensor technologies are crucial for advancing precision farming and addressing global food security challenges.
- Continued innovation in sensor technology and data analytics promises further improvements in agricultural practices.
- Overcoming challenges such as sensor calibration, data privacy, interoperability, and adoption barriers is essential for widespread implementation.
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