System evaluation demonstrates real-time environmental sensing and automated mobile alerts in crop fields, highlighting pathways to optimize water use.
Smart agriculture systems leverage advanced versions such as the Internet of Things, sensor networks, and data visualisation methods to optimize farming practices, improve crop yield, and reduce resource consumption. These systems integrate various sensors to monitor environmental parameters such as soil moisture, temperature, humidity, and light intensity. The data which is collected data is analyzed in real-time to provide actionable insights for farmers, enabling precision agriculture. Automated irrigation systems can adjust watering schedules based on soil moisture levels, ensuring optimal water usage. Additionally, smart agriculture systems can include pest detection and weather forecasting capabilities, allowing for timely interventions and better risk management. By utilizing these technologies, farmers can enhance productivity, minimize waste, and promote sustainable farming practices, ultimately contributing to food security and environmental conservation. The paper's feature involves creating a system that can monitor temperature, humidity, moisture, and animal movement in agricultural fields using Arduino sensors. It will send SMS and app notifications to the farmer's smartphone in case of any issues, using Wi-Fi/3G/4G.
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Naidu et al. (2024) studied this question.
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