Convolutional neural networks in detection of plant leaf diseases: A review
Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …
recognize objects from images. DL approaches have recently entered various agricultural …
Image thresholding approaches for medical image segmentation-short literature review
Medical image analysis is an invaluable tool in medicine. Different imaging modalities
provide an effective means for mapping images that can feed machine and deep learning …
provide an effective means for mapping images that can feed machine and deep learning …
DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection
Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …
[HTML][HTML] PLDPNet: End-to-end hybrid deep learning framework for potato leaf disease prediction
Agricultural productivity plays a vital role in global economic development and growth. When
crops are affected by diseases, it adversely impacts a nation's economic resources and …
crops are affected by diseases, it adversely impacts a nation's economic resources and …
Transformative Role of Artificial Intelligence in Advancing Sustainable Tomato (Solanum lycopersicum) Disease Management for Global Food Security: A …
B Sundararaman, S Jagdev, N Khatri - Sustainability, 2023 - mdpi.com
The growing global population and accompanying increase in food demand has put
pressure on agriculture to produce higher yields in the face of numerous challenges …
pressure on agriculture to produce higher yields in the face of numerous challenges …
Construction of deep learning-based disease detection model in plants
Accurately detecting disease occurrences of crops in early stage is essential for quality and
yield of crops through the decision of an appropriate treatments. However, detection of …
yield of crops through the decision of an appropriate treatments. However, detection of …
Graphical image region extraction with k-means clustering and watershed
With a wide range of applications, image segmentation is a complex and difficult
preprocessing step that plays an important role in automatic visual systems, which accuracy …
preprocessing step that plays an important role in automatic visual systems, which accuracy …
[HTML][HTML] Enhancing leaf disease detection accuracy through synergistic integration of deep transfer learning and multimodal techniques
The agricultural sector, a cornerstone of economies worldwide, faces significant challenges
due to plant diseases, which severely affect crop yield and quality. Early and accurate …
due to plant diseases, which severely affect crop yield and quality. Early and accurate …
A smartphone-based detection system for tomato leaf disease using efficientNetV2B2 and its explainability with artificial intelligence (AI)
The occurrence of tomato diseases has substantially reduced agricultural output and
financial losses. The timely detection of diseases is crucial to effectively manage and …
financial losses. The timely detection of diseases is crucial to effectively manage and …
Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction
W Ding, M Abdel-Basset, I Alrashdi, H Hawash - Information Sciences, 2024 - Elsevier
Efficient and rational monitoring of plant health is an essential prerequisite for ensuring
optimal crop production and resource management in the field of agriculture. Computer …
optimal crop production and resource management in the field of agriculture. Computer …