Illinois farmers are increasingly using drones for crop scouting, pest detection, and NDVI imagery to monitor plant health, while AI-driven analytics expand from agriculture to turf and lawn care.

AI technologies are increasingly being integrated into agriculture and gardening, from advanced irrigation and pest detection systems to consumer-grade smart plant care devices. Researchers and ...

Kidney diseases develop slowly and may not produce any obvious symptoms for a long time. The body can compensate for them so ...

A review published in Agriculture outlines how integrating these tools into farming practices could play a decisive role in ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

The ‘AgriHub,’ Innovation Hub for Agriculture at the Indian Institute of Technology Indore, is emerging as a major centre for AI-based agricultural innovation in India. Inaugurated on January 27, 2025 ...

Cellar Insights deploys potato storage technology using wireless sensors and machine learning to cut post-harvest losses for ...

Crop Disease Detection using Machine Learning is a CNN-based system that identifies crop diseases from leaf images and provides preventive measures, helping farmers detect diseases early and reduce ...

Crop diseases are one of the major threats to global food security, resulting in the loss of approximately of crop yields each year, with profound implications for economic and social stability. Early ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...