A subset of artificial intelligence is deep learning. With the advantages of feature extraction and automatic learning, it has received a lot of attention in recent years from both academic and ...

This study introduces a novel deep reinforcement learning method for the automated diagnosis of tomato plant diseases. The proposed method analyses leaf photos to accurately distinguish between ...

Swift plant disease diagnosis is vital to prevent extensive production losses and uphold food security. Recently, object detection-based methods using deep learning have shown promise in ...

DNA extraction is the first step in identifying plant diseases, and the new method holds promise for the development of on-site plant disease detection tools.

The technology builds on a previous prototype patch, which detected plant disease by monitoring VOCs emitted by plants. Plants emit different combinations of VOCs under different circumstances.

The integration of deep learning models into tropical agriculture offers a powerful tool for combating plant diseases, enhancing productivity, and promoting sustainability.

Artificial intelligence (AI) is becoming a transformational force in healthcare, delivering significant benefits for both patients and healthcare service providers. From critical illness, early ...

Effective prediction capabilities can be achieved by using deep learning technology — an advanced subset of AI. A deep learning tool analyzes 100% of raw data autonomously.