Challenge Conventional irrigation techniques often depend on visual indicators of crop stress, which manifest too late for timely intervention. This results in either over-watering, which not only wastes freshwater but also heightens pollution risks, or under-watering, which diminishes yields and places additional stress on crops. A key challenge for many farmers is obtaining real-time, accurate soil data to enhance their irrigation strategies. Solution To tackle this issue, a leading agri-tech company has collaborated with Amazon Web Services (AWS) to create a cloud-based, AI-driven irrigation management system. This innovative solution combines real-time data from in- soil sensors with satellite imagery, weather forecasts and hydraulic models, facilitating data-driven water management decisions. AWS supplies the required computational power, scalability and secure data infrastructure to efficiently process and analyse extensive soil and climate data in real time. Implementation –IoT-enabled soil sensors: The agri-tech company has installed thousands of in-soil IoT sensors on farms globally. These sensors provide continuous monitoring of moisture levels, temperature and salinity, sending real- time data to AWS cloud servers. –AI-powered analytics on AWS: The data gathered is analysed using machine learning algorithms hosted on AWS, enabling farmers to identify soil trends, forecast irrigation requirements and enhance water efficiency. The AI models consider factors such as crop type, soil composition, historical weather data and evapotranspiration rates to offer accurate irrigation suggestions. –Cloud-based decision support: AWS serves as the computational foundation for the agri-tech company’s digital platform, facilitating efficient data storage, real-time processing and secure access for farmers around the globe. The system consolidates various data layers, including topography, weather forecasts and satellite imagery, into a single, intuitive platform that can be accessed through mobile and web applications. –Automation and remote management: The integration with AWS cloud services empowers farmers to manage irrigation systems remotely, decreasing dependence on manual labour while ensuring effective water distribution and resource management. Impact –40% reduction in water usage across various crop types, promoting sustainable water conservation. –10% increase in crop yields, enhancing food security while maintaining sustainability. –Reduced fertilizer runoff, helping to prevent soil and water contamination. –Lower operational expenses by minimizing energy, labour and equipment requirements for irrigation. –Scalable implementation, with over 9,000 sensors deployed across 1,200 farms worldwide, profiting farmers, agrochemical companies, irrigation equipment manufacturers and crop insurers. The partnership between AWS and the agri-tech company highlights the potential of AI, IoT and cloud computing to enhance water efficiency in agriculture. By utilizing AWS’s robust cloud infrastructure alongside the agri-tech company’s advanced irrigation analytics, farmers are able to minimize water waste, optimize crop yields and respond effectively to climate variability. This case study illustrates the significant impact of digital technologies in upgrading irrigation practices and fostering agricultural resilience in a water-scarce world.CASE STUDY 2 AWS revolutionizes precision irrigation with AI and cloud computing Source: AWS (2020).28 Harnessing Digital Technologies for Smarter Water Management in Agriculture 15

Harnessing Digital Technologies for Smarter Water Management in Agriculture 2025