The study’s findings are highly relevant to rice-producing regions worldwide, where pests like stem borers, planthoppers, and ...

The best resource for creating this kind of disease detection model is deep learning technology. Image pre-processing and model analysis are steps in the disease detection construction process. Few ...

California growers continue to face pressing issues, from persistent drought and limited labor to crop pest concerns. These startups were ... Spornado – Creators of an early-warning disease detection ...

Anomaly detection plays a critical role in identifying and addressing irregularities, such as pest outbreaks, disease spread ... To address these challenges, we propose a novel deep learning-based ...

Abstract: This research addresses the imperative need for advanced detection mechanisms for the identification of phishing websites. For this purpose, we explore state-of-the-art machine learning, ...

and the model is optimized using conditional random fields to design a fusion algorithm for rice disease and pest recognition. The outcomes denoted that when the learning rate was 0.0001, the loss of ...