Lesion-aware visual transformer network for Paddy diseases detection in precision agriculture
Precision agriculture, driven by advancements in sensing technologies and data analytics,
offers promising solutions for addressing challenges in paddy disease management. Paddy …
offers promising solutions for addressing challenges in paddy disease management. Paddy …
Rice leaf disease detection and classification using a deep neural network
S Mohapatra, C Marandi, A Sahoo, S Mohanty… - International Conference …, 2022 - Springer
In the 21st-century crop complaint is a serious concern for food security. In this period,
utmost of the husbandry support centers and numerous growers use different technologies …
utmost of the husbandry support centers and numerous growers use different technologies …
Rice seed classification using machine learning and deep learning
Rice is a staple crop for Indonesian citizens. The need for rice increases along with
population growth, and farmers need quality rice seeds. This study compares machine …
population growth, and farmers need quality rice seeds. This study compares machine …
Improved Rice Leaf Disease Detection using Fusion of Otsu Thresholding and Thepade SBTC Features
SD Thepade, D Abin… - … Conference on Recent …, 2022 - ieeexplore.ieee.org
Rice leaf disease has many morphs, including Rice Blast Healthy Leaves, Sheath Blight,
Sheath Rot, Hispa, Blade Blast, and Leaf Smut, among others. One of the important …
Sheath Rot, Hispa, Blade Blast, and Leaf Smut, among others. One of the important …
An Intelligent Optimization Based Yolov5 Framework to Detect the Rice Leaf Disease
Rice leaf disease detection and classification is critical and plays a significant role. The
present work focuses classification procedure in rice leaf disease. Traditional categorization …
present work focuses classification procedure in rice leaf disease. Traditional categorization …
An Approach Towards Classifying Plant-Leaf Diseases and Comparisons with the Conventional Classification
A Shrotriya, AK Sharma, S Prabhu, AK Bairwa - IEEE Access, 2024 - ieeexplore.ieee.org
Plants play a crucial role in human history by providing essential resources such as food.
However, they are susceptible to various diseases like leaf blight, grey spots, and rust …
However, they are susceptible to various diseases like leaf blight, grey spots, and rust …
A CNN-based strategy to automate contour detection of the hip and proximal femur using DXA hip images from longitudinal databases (CLSA and CaMos)
Hip fractures contribute significantly to mortality in older adults. New methods to identify
those at risk use dual-energy X-ray absorptiometry (DXA) images and advanced image …
those at risk use dual-energy X-ray absorptiometry (DXA) images and advanced image …
[PDF][PDF] Chapter-1 Typical Convolution Neural Network Model for the Agricultural Improvement in India
S Panda - Trends in Agriculture using IoT, 2022 - researchgate.net
Agriculture is an integral part of human life. Along with the development of human
civilization, there have been changes, and innovations in the nature of agriculture and they …
civilization, there have been changes, and innovations in the nature of agriculture and they …