ADMA and AI technologies enable access to data and insights from agricultural production fields. These capabilities allow organizations to drive harvest and production efficiency, reduce food waste, create nutrient-dense and high-quality products, and automate and improve ESG (Environmental, Social, and Governance) and Scope 3 emissions reporting. In addition, they provide transparency to stakeholders.
NASACI uses the Microsoft ADMA platform to deliver data-driven farming experiences and enhance results through Artificial Intelligence (AI). This includes leveraging sustainability data solutions in Microsoft Fabric, natural language queries with Copilot in Microsoft Sustainability Manager, and other AI-powered features. Additionally, NASACI utilizes its sensor network and, when needed, drones. This helps agricultural engineers, technicians, and working farmers increase yields, reduce costs, and improve efficiency by providing actionable insights from farm data, while addressing challenges such as poor rural connectivity through innovative solutions.
NASACI also uses Azure Data Manager for Agriculture to support agri-food farmers in building digital agriculture solutions on Azure for each region, located by latitude and longitude, within the context of a given agricultural plantation.
The monitoring icons help in collecting data related to weather conditions, soil quality monitoring, and grain and crop growth processes to understand soil needs and help achieve better yields. It also supports cattle raising (livestock) by allowing remote monitoring of cows, bulls, and other animals. Devices attached to collars are also available to track animal health, chewing patterns, location details, pasture management, and more.
Application algorithms, along with analytical tools, are implemented in agricultural fields for predictive maintenance and to examine land at a more granular level. These tools help in making decisions in advance and also recommend suitable crop types through the integration of AI/ML within the system.
