It's a plotline that has haunted science fiction for decades: Humans become infected by plant pathogens, causing illness, death or a zombie-like state. But is there any truth to this idea? Can plant ...

Enhancing plant health capacities across Member States is essential for safeguarding major staple crops against emerging and transboundary pests and diseases, thereby strengthening agricultural ...

Plant diseases cause an estimated 30% annual crop yield loss worldwide, resulting in hundreds of billions of dollars in economic damage and increasingly threatening native and ornamental plants ...

The PlantIF framework consists of image and text feature extractors, semantic space encoders, and a multimodal feature fusion module. Image and text feature extractors are used to present visual and ...

Al-based plant disease detection system using deep learning, providing real-time identification and remedy suggestions for crop health management. AI-powered plant disease detection system using deep ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Plant diseases threaten global food security, necessitating efficient, ...

Abstract: Global food security is seriously threatened by plant diseases, especially in areas with limited access to prompt professional diagnosis. We introduce PlantNet, a deep learning-powered ...

As climate change alters the frequency, intensity, and co-occurrences of abiotic and biotic stresses, the effective and efficient detection of plant stress responses and resistance mechanisms is ...

Abstract: This study focuses on the early and accurate detection of tomato plant diseases using the lightweight and efficient deep learning model YOLOv11n. Early identification of plant diseases is ...