Researchers at the Indian Institute of Science (IISc) and the Qatar Science and Technology Research Center (QSRTC) have ...

About An AI-driven platform offering crop recommendations, fertilizer suggestions, and disease detection for optimal farming - prokriti11/AgroShield-AI-Powered-Crop-Disease-Detection ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

Researchers have made significant progress in the field of artificial intelligence (AI) by applying deep learning techniques to automate the detection and classification of crop leaf diseases.

State-of-the-Art Deep Learning Algorithms for Internet of Things-Based Detection of Crop Pests and Diseases: A Comprehensive Review ...

Notably, powdery mildew and blotches are significant diseases with different features, necessitating an accurate detection system to minimize crop losses. While traditional methods involve capturing ...

Research on the classification and identification of crop diseases and pests can help farmers quickly prevent crop diseases and pests. A crop disease and pest identification model based on adaptive ...

Our recommender system is based on question–answer pairs, and it is built using machine learning and natural language processing techniques. We study and experiment with various algorithms that are ...