Smart Sensors for Agricultural Innovation

Smart sensors are advanced technological devices that enable data-driven agriculture, improving efficiency and productivity. These sensors can monitor soil and plant parameters, facilitate precision farming, and enable automation in various agricultural processes(Paul et al. 2022). Smart sensors are particularly useful in managing irrigation resources, especially in water-scarce regions, by providing real-time data on soil moisture and environmental conditions. The integration of smart sensors with Internet of Things (IoT) technology allows for remote monitoring and control of agricultural operations, including crop yield improvement, livestock tracking, and equipment management. These technologies can help address challenges such as environmental pollution, climate change, and soil degradation while improving overall farm management and sustainability (Priya and Kaur 2021). The application of smart sensors in agriculture represents a significant advancement in farming practices and resource management.

Recent advancements in smart sensors and IoT technologies are transforming agriculture into a more data-driven and efficient sector. (Shaikh et al. 2022) highlight the integration of various technologies, including wireless sensor networks and AI, to enhance agricultural decision-making and yield. (Ayaz et al. 2019) emphasize the role of IoT-based wireless sensors in optimizing crop management from sowing to harvesting, while also addressing challenges in integrating these technologies with traditional practices. (Ullo and Sinha 2021) focus on the application of smart sensors in remote sensing, crop monitoring, and automation, showcasing their potential in improving agricultural productivity. Lastly, (Paul et al. 2022) discuss the benefits of smart sensors in precision farming, emphasizing their role in resource management and enhancing crop yield through real-time data. Collectively, these studies underscore the importance of smart sensors in modernizing agricultural practices and addressing existing challenges.

Smart sensors and Internet of Things (IoT) technologies offer significant potential for improving agricultural productivity and sustainability, but face several key challenges. These include the high costs of implementation, lack of digital literacy among farmers, and data security concerns (Rajak et al. 2023). Technical constraints and inconsistent sensor installation in farm structures also pose difficulties (Maraveas and Bartzanas 2021). While smart sensors can effectively monitor crucial environmental factors like soil moisture, temperature, and greenhouse gases, ensuring the security of these systems is paramount. Conventional protection schemes may not be suitable for agricultural systems, creating additional demands for robust security measures (Rettore de Araujo Zanella, da Silva, and Pessoa Albini 2020). Despite these challenges, the integration of smart sensors with technologies such as big data analytics and artificial intelligence shows promise for optimizing crop management and resource utilization in precision agriculture (Rettore de Araujo Zanella, da Silva, and Pessoa Albini 2020).

Reference

Ayaz, Muhammad, Mohammad Ammad-Uddin, Zubair Sharif, Ali Mansour, and El-Hadi M Aggoune. 2019. “Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk.” IEEE Access 7: 129551–83. doi:10.1109/ACCESS.2019.2932609.

Maraveas, Chrysanthos, and Thomas Bartzanas. 2021. “Sensors for Structural Health Monitoring of Agricultural Structures.” Sensors (Switzerland) 21(1): 1–32. doi:10.3390/s21010314.

Paul, Kenny, Sandeep S Chatterjee, Puja Pai, Alok Varshney, Siddhi Juikar, Venkatesh Prasad, Bhaskar Bhadra, and Santanu Dasgupta. 2022. “Viable Smart Sensors and Their Application in Data Driven Agriculture.” Computers and Electronics in Agriculture 198: 107096. doi:https://doi.org/10.1016/j.compag.2022.107096.

Priya, Puja, and Gurjit Kaur. 2021. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture Smart Sensors for Smart Agriculture. doi:10.4018/978-1-7998-1722-2.ch011.

Rajak, Prem, Abhratanu Ganguly, Satadal Adhikary, and Suchandra Bhattacharya. 2023. “Internet of Things and Smart Sensors in Agriculture: Scopes and Challenges.” Journal of Agriculture and Food Research 14(June): 100776. doi:10.1016/j.jafr.2023.100776.

Rettore de Araujo Zanella, Angelita, Eduardo da Silva, and Luiz Carlos Pessoa Albini. 2020. “Security Challenges to Smart Agriculture: Current State, Key Issues, and Future Directions.” Array 8(October): 100048. doi:10.1016/j.array.2020.100048.

Shaikh, Faisal, Sarang Karim, Sherali Zeadally, and Nebhen Jamel. 2022. “Recent Trends in Internet-of-Things-Enabled Sensor Technologies for Smart Agriculture.” IEEE Internet of Things Journal: 1. doi:10.1109/JIOT.2022.3210154.

Ullo, Silvia Liberata, and G. R. Sinha. 2021. “Advances in IoT and Smart Sensors for Remote Sensing and Agriculture Applications.” Remote Sensing 13(13). doi:10.3390/rs13132585.