Law

Anatomy of a Prompt: Real Training for Using AI

With increasing use of AI in law firms, formulating a prompt to get useable results is an important step. As part of a session at ILTACON '25, Sean Harrington and Andy Kim presented a live demo ...
Frontiers

Smart intercropping system to detect leaf disease using hyperspectral imaging and hybrid deep learning for precision agriculture

Introduction: The rapid growth of the global population and intensive agricultural activities has posed serious environmental challenges. In response, there is an increasing demand for sustainable ...
Frontiers

Enhanced-RICAP: a novel data augmentation strategy for improved deep learning-based plant disease identification and mobile diagnosis

Introduction: Plant diseases pose a significant threat to global food security and agricultural productivity, making accurate and timely disease identification essential for effective crop management ...
IEEE

Exploring Deep Learning and Explainable AI for Precise Rice Leaf Disease Detection and Classification

Abstract: This study presents an innovative approach to detect and classify four types of rice leaf diseases, including bacterial leaf blight, brown spot, tungro, and blast, as well as healthy leaves, ...
Scientific Research Publishing

Pierre Nyakuri, J., Nkundineza, C., Gatera, O. and Nkurikiyeyezu, K. (2024) State-of-the-Art Deep Learning Algorithms for Internet of Things-Based Detection of Crop Pests and ...

ABSTRACT: Agriculture is essential for humanity’s survival, and productivity is crucial in agriculture. Owing to its multiple nutrients, cherry has become an important fruit for daily consumption; ...
Scientific Research Publishing

YOLO-AgriNet: A Deep Learning-Based Model for Real-Time Plant Disease Detection in Precision Agriculture ()

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...