- Smart agriculture refers to the integration of advanced technologies such as IoT, AI, sensors, and big data into farming practices to enhance productivity, optimize resource use, and promote sustainable agricultural operations across various segments including crop cultivation, livestock monitoring, and aquaculture
- Market growth is driven by the increasing need for efficient food production due to limited arable land, rising global population, growing adoption of precision farming techniques, and the demand for sustainable agricultural solutions
- The market is evolving with advancements in connected devices, automation, and data analytics, which enable real-time monitoring, predictive insights, and decision support systems for enhanced farm management and output
- For instance, companies such as John Deere and Trimble are incorporating AI and machine learning in their equipment and software platforms to support precision planting, autonomous machinery, and data-driven farm operations
- The smart agriculture market is expected to witness robust growth, supported by expanding government initiatives, increased investment in agri-tech startups, and the rising incorporation of smartphones and mobile applications for on-field data access and control
