For investors seeking real assets that hedge against inflation while offering both income and intrinsic value, farmland is ...

By combining machine learning, robotics and analytics, farmers are gaining financial benefits by improving crop yields and ...

Across California, researchers, farmers, technologists and universities are launching a bold vision for the future of farming ...

There may be snow on the ground, but a group of local researchers are competing against three other Canadian teams to bring ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

QINHUANGDAO, HEBEI, CHINA, January 8, 2026 /EINPresswire.com/ -- The global agricultural landscape is in a phase of ...

According to the UN Food and Agriculture Organization (FAO), up to 40 per cent of crops globally are lost each year to pests ...

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

Tools such as CRISPR can edit genes with precision, but the process of determining which genes to target is costly and slow, ...

Overview AI in soil health analysis enables faster, more accurate assessment of soil conditions using data from sensors, ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to improve decision-making.Smart crop mo ...