Deep learning-based leaf disease detection in crops using images for agricultural applications

J Eunice, DE Popescu, MK Chowdary, J Hemanth - Agronomy, 2022 - mdpi.com
The agricultural sector plays a key role in supplying quality food and makes the greatest
contribution to growing economies and populations. Plant disease may cause significant …

Application of drone surveillance for advance agriculture monitoring by Android application using convolution neural network

SA Shah, GM Lakho, HA Keerio, MN Sattar, G Hussain… - Agronomy, 2023 - mdpi.com
Plant diseases are a significant threat to global food security, impacting crop yields and
economic growth. Accurate identification of plant diseases is crucial to minimize crop loses …

Potato blight detection using fine-tuned CNN architecture

MH Al-Adhaileh, A Verma, THH Aldhyani, D Koundal - Mathematics, 2023 - mdpi.com
Potato is one of the major cultivated crops and provides occupations and livelihoods for
numerous people across the globe. It also contributes to the economic growth of develo** …

Wheat Leaf Disease Detection: A Lightweight Approach with Shallow CNN Based Feature Refinement

O Jouini, MOE Aoueileyine, K Sethom, A Yazidi - AgriEngineering, 2024 - mdpi.com
Improving agricultural productivity is essential due to rapid population growth, making early
detection of crop diseases crucial. Although deep learning shows promise in smart …

[PDF][PDF] Plant Disease Detection Using Deep Learning

B Hamed, M Hussein, A Mousa - International Journal of …, 2023 - researchgate.net
Agricultural development is a critical strategy for promoting prosperity and addressing the
challenge of feeding nearly 10 billion people by 2050. Plant diseases can significantly …

Efficient protection of golden nutri cereal implementing enhanced disease identification injecting hybrid split-attention mechanism through Novel SANDNES …

A Divya, D Sungeetha, S Ramesh - Multimedia Tools and Applications, 2024 - Springer
Millets, often referred to as" Nutri Cereals," hold significant potential for enhancing future
food availability. Over the past 50 years, advancements such as the use of fertilizers …

Small object Lentinula Edodes logs contamination detection method based on improved YOLOv7 in edge-cloud computing

X Chen, S Sun, C Chen, X Song, Q Wu… - Journal of Cloud …, 2024 - Springer
A small object Lentinus Edodes logs contamination detection method (SRW-YOLO) based
on improved YOLOv7 in edge-cloud computing environment was proposed to address the …

Wheat leaf disease detection using CNN in Smart Agriculture

O Jouini, K Sethom… - 2023 International Wireless …, 2023 - ieeexplore.ieee.org
Plant diseases are one of the most significant threats to the yield and quality of agriculture in
the world. Conventional plant disease detection techniques rely heavily on expert diagnosis …

Enhancing Agricultural Disease Detection: A Multi‐Model Deep Learning Novel Approach

MK Hamid, SK Shah, G Husnain, YY Ghadi… - Engineering …, 2025 - Wiley Online Library
Artificial intelligence, especially deep learning, has attracted significant interest in
bioinformatics, with prominent applications in precision agriculture. A significant threat to the …

A Multimodal Deep Learning Approach for Advanced Plant Disease Prediction

S Pandey, A Somaddar, S Jain, S Perti… - 2023 1st DMIHER …, 2023 - ieeexplore.ieee.org
Excellent craftsmanship food is provided by the farming industry, which is also a major
engine of GDP growth and demographic supports. Plants ailments, nevertheless, can …