Vol. 11, Issue 2, Part E (2025)

Abstract
Digitalization refers to the integration of digital technologies into various sectors to enhance efficiency, automation, and connectivity. It enables data-driven decision-making, seamless communication, and process optimization using advanced technologies like artificial intelligence (AI), the Internet of Things (IoT), cloud computing, and blockchain. In agriculture, digitalization is transforming traditional farming practices by leveraging technology to improve productivity, resource management, and sustainability. Precision farming, powered by GPS, sensors, and drones, allows farmers to monitor crop growth, soil health, and irrigation with high accuracy. Smart sensors and IoT devices collect real-time data on weather conditions, soil moisture, and plant health, enabling informed decision-making. AI and machine learning analyze vast datasets to predict crop yields, detect diseases, and optimize farming strategies. Additionally, digital soil mapping (DSM) integrates remote sensing, GIS, and machine learning to classify soil properties, aiding in better land use planning. Climate monitoring platforms like KAZNET utilize crowd sourced and satellite-based data to track weather patterns, livestock health, and food security. Digitalization has also revolutionized agricultural marketing through e-agriculture platforms that connect farmers with buyers, suppliers, and advisory services, improving market access and financial support. By adopting these technologies, agriculture is becoming more data-driven, resilient, and efficient, reducing resource wastage, enhancing productivity, and strengthening supply chains. As digital innovations continue to evolve, the future of agriculture will be shaped by automation, smart decision-making, and sustainable farming systems, ensuring food security and economic growth.