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The adoption of agricultural analytics is driven by technological advancements and changing market demands. The latest trends include the integration of AI and ML, blockchain for supply-chain transparency, cloud-based analytics, data-driven sustainability practices, and real-time analytics with IoT. There is a growing emphasis on using analytics to promote sustainable farming practices. It reduces the environmental impact and complies with sustainability standards. In February 2024, the Food and Agriculture Organization (FAO) highlighted that data-driven approaches in agricultural analytics led to a 25% reduction in water usage in pilot projects in arid regions by optimizing irrigation practices. It helps to mitigate the impact of climate change.
The global demand for food is increasing due to population growth. Analytics help farmers increase crop yields and manage resources more effectively, contributing to food security. In May 2024, the FAO released a report that highlighted that advanced analytics in agriculture have contributed to a 15% increase in crop yields globally over the past decade, helping tackle food security challenges.