Plant disease detection and classification techniques: a comparative study of the performances
WB Demilie - Journal of Big Data, 2024 - Springer
One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …
Enhanced classification of coffee leaf biotic stress by synergizing feature concatenation and dimensionality reduction
Significant yield challenges are posed by biotic stress on coffee leaves, which has a
negative effect on the revenue generation of this highly utilized commodity. Numerous …
negative effect on the revenue generation of this highly utilized commodity. Numerous …
Plant Leaf Disease Detection, Classification and Diagnosis using Computer Vision and Artificial Intelligence: A Review
Agriculture is the ultimate imperative and primary source of origin to furnish domestic income
for multifarious countries. The disease caused in plants due to various pathogens like …
for multifarious countries. The disease caused in plants due to various pathogens like …
Image classification of root-trimmed garlic using multi-label and multi-class classification with deep convolutional neural network
PTQ Anh, DQ Thuyet, Y Kobayashi - Postharvest Biology and Technology, 2022 - Elsevier
Garlic root trimming is one of the most tedious tasks in the postharvest processing of garlic
since the evaluation of trimming results is done by mainly visual inspection for each label of …
since the evaluation of trimming results is done by mainly visual inspection for each label of …
[HTML][HTML] A Systematic Review of UAV and AI Integration for Targeted Disease Detection, Weed Management, and Pest Control in Precision Agriculture
Unmanned aerial vehicles (UAV), often unmanned aerial systems, are increasingly used in
many industries, such as agriculture, forestry, the military, and disaster management. This is …
many industries, such as agriculture, forestry, the military, and disaster management. This is …
Deep learning diagnostics of gray leaf spot in maize under mixed disease field conditions
Maize yields worldwide are limited by foliar diseases that could be fungal, oomycete,
bacterial, or viral in origin. Correct disease identification is critical for farmers to apply the …
bacterial, or viral in origin. Correct disease identification is critical for farmers to apply the …
Lite-SRGAN and Lite-UNet: toward fast and accurate image super-resolution, segmentation, and localization for plant leaf diseases
Complex deep convolutional networks are typically designed to achieve state-of-the-art
results. Such networks require powerful computing resources and cannot work efficiently on …
results. Such networks require powerful computing resources and cannot work efficiently on …
Black gram disease classification using a novel deep convolutional neural network
Black gram, the king of pulses, also known as Urad in India, where it is cultivated from
ancient times. India is the largest cultivator of black gram crop globally, and its production is …
ancient times. India is the largest cultivator of black gram crop globally, and its production is …
The plant disease detection using CNN and deep learning techniques merged with the concepts of machine learning
Plant diseases when not treated properly can pose a potential threat to food security. Thus,
rapid detection of crop disease is essential to treat the disease early. Traditionally, leaves …
rapid detection of crop disease is essential to treat the disease early. Traditionally, leaves …
Treesketchnet: From sketch to 3d tree parameters generation
Three-dimensional (3D) modeling of non-linear objects from stylized sketches is a challenge
even for computer graphics experts. The extrapolation of object parameters from a stylized …
even for computer graphics experts. The extrapolation of object parameters from a stylized …