Sea urchin mass mortality events: Studies identify primary drivers

Two pioneering studies by researchers from the School of Zoology and the Steinhardt Museum of Natural History at Tel Aviv ...
IEEE

Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model

Abstract: Accurate identification of wheat diseases is an essential component for increasing crop yields and guaranteeing global food security. However, subjective opinions, errors, and laborious ...

Species identification key to understanding South Australia's harmful algal bloom

In a significant step toward dealing with the persistent harmful algal bloom affecting the South Australian coast, ...
Santa Clarita Magazine

Protecting Your Family From Water Bourne Disease Year Round – Koi and Water Garden Club

Summertime is a time for increased water use, and mosquitos need water to survive. Mosquitos will lay their eggs on standing water and will be flying adults in 1-2 weeks! By eliminating any standing ...
Hosted on MSN

Parkinson's disease: watch for these warning signs

Learn to identify the early signs of Parkinson's disease. If you think that you experience symptoms of Parkinson's disease, don't wait to speak to a health professional. Mahmood claws back £74m from ...
Hosted on MSN

Parkinson's disease: watch for these warning signs

Learn to identify the early signs of Parkinson's disease so you can take action as soon as possible. Court Deals Blow to Trump Officials Over Veterans’ Cases Warren Buffett suggests all parents do one ...
IEEE

Representation Learning for Latent Disease Identification based on the Multidimensional Hesitant Fuzzy xLSTM Network

Abstract: Latent disease representation learning plays a pivotal role in disease identification. However, this process is often influenced by the subjective judgments of experts or decision-makers, ...
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 ...
Scientific Research Publishing

Arnal Barbedo, J.G. (2019) Plant Disease Identification from Individual Lesions and Spots Using Deep Learning. Biosystems Engineering, 180, 96-107.

ABSTRACT: Timely and accurate detection of plant diseases is essential for improving crop yields and ensuring food security, particularly in regions like Cameroon, where farmers often rely on visual ...
EurekAlert!

New few-shot learning model enhances crop disease recognition accuracy

Plant disease recognition technologies have advanced rapidly thanks to deep learning and large annotated datasets, but agricultural applications face unique hurdles. Data collection in the field is ...
Scientific Research Publishing

Yang, B., Li, M., Li, F., Wang, Y., Liang, Q., Zhao, R., et al. (2024) A Novel Plant Type, Leaf Disease and Severity Identification Framework Using CNN and Transformer with ...

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; ...