[HTML][HTML] Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques

CG Simhadri, HK Kondaveeti, VK Vatsavayi… - Information Processing …, 2024 - Elsevier
Rice is an essential food crop that is cultivated in many countries. Rice leaf diseases can
cause significant damage to crop cultivation, leading to reduced yields and economic …

Unlocking the role of silicon against biotic stress in plants

KK Verma, XP Song, Q Liang, HR Huang… - Frontiers in Plant …, 2024 - frontiersin.org
The requirement for agricultural crops continues to enhance with the continuous growth of
the human population globally. Plant pathogenic diseases outbreaks are enhancing and …

Improved EfficientNet for corn disease identification

J Cai, R Pan, J Lin, J Liu, L Zhang, X Wen… - Frontiers in Plant …, 2023 - frontiersin.org
Introduction Corn is one of the world's essential crops, and the presence of corn diseases
significantly affects both the yield and quality of corn. Accurate identification of corn diseases …

Multidimensional Role of Silicon to Mitigate Biotic and Abiotic stresses in plants: a Comprehensive Review

MS Ullah, A Mahmood, M Ameen, A Nayab, A Ayub - Silicon, 2024 - Springer
Numerous abiotic and biotic stresses threaten sustainable agriculture under limited
resources. Agriculture productivity is disrupted by these unpredictable environmental …

An Intelligent System-Based Coffee Plant Leaf Disease Recognition Using Deep Learning Techniques on Rwandan Arabica Dataset

E Hitimana, OJ Sinayobye, JC Ufitinema… - Technologies, 2023 - mdpi.com
Rwandan coffee holds significant importance and immense value within the realm of
agriculture, serving as a vital and valuable commodity. Additionally, coffee plays a pivotal …

Advanced integration of 2DCNN-GRU model for accurate identification of shockable life-threatening cardiac arrhythmias: a deep learning approach

AS Ba Mahel, S Cao, K Zhang, SA Chelloug… - Frontiers in …, 2024 - frontiersin.org
Cardiovascular diseases remain one of the main threats to human health, significantly
affecting the quality and life expectancy. Effective and prompt recognition of these diseases …

Research on species identification of wild grape leaves based on deep learning

B Pan, C Liu, B Su, Y Ju, X Fan, Y Zhang, L Sun… - Scientia …, 2024 - Elsevier
There are more than 70 species of Vitis in the world, and 40 species, 1 subspecies and 13
varieties of Vitis native from China. Wild grapes are diverse and complex, and it is difficult to …

Predicting long-term time to cardiovascular incidents using myocardial perfusion imaging and deep convolutional neural networks

YL Li, HB Leu, CH Ting, SS Lim, TY Tsai, CH Wu… - Scientific reports, 2024 - nature.com
Myocardial perfusion imaging (MPI) is a clinical tool which can assess the heart's perfusion
status, thereby revealing impairments in patients' cardiac function. Within the MPI modality …

[HTML][HTML] SAM-ResNet50: A Deep Learning Model for the Identification and Classification of Drought Stress in the Seedling Stage of Betula luminifera

S Gao, H Liang, D Hu, X Hu, E Lin, H Huang - Remote Sensing, 2024 - mdpi.com
Betula luminifera, an indigenous hardwood tree in South China, possesses significant
economic and ecological value. In view of the current severe drought situation, it is urgent to …

Deep transfer learning with gravitational search algorithm for enhanced plant disease classification

MSAM Al-Gaashani, NA Samee, R Alkanhel, G Atteia… - Heliyon, 2024 - cell.com
Plant diseases annually cause damage and loss of much of the crop, if not its complete
destruction, and this constitutes a significant challenge for farm owners, governments, and …