Title: Sensors-Based Irrigation for Increasing Crop and Water Productivity
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Springer Science+Business Media
Abstract
Sensor-based decision tools provide a quick assessment of nutritional and physiological health status of crop, thereby enhancing the crop productivity. This chapter aims to revolutionize traditional agricultural practices by implementing a state-of-the-art sensors-based irrigation system. The objective is to optimize water usage, enhance crop productivity, and contribute to sustainable farming practices. The proposed system utilizes advanced sensors and data analytics to monitor soil moisture levels, weather conditions, and crop water requirements in real time. By employing precision irrigation techniques, the project seeks to maximize water use efficiency, minimize wastage, and foster a more sustainable and resilient agricultural ecosystem. The study also includes an economic analysis to evaluate the cost-effectiveness of the sensors-based irrigation system, ensuring its viability for farmers. Through this innovative approach, the chapter aspires to address water scarcity challenges, promote resource-efficient farming, and contribute to global food security. © 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
