Rice plant disease diagnosing using machine learning techniques: a comprehensive review
G Udayananda, C Shyalika, P Kumara - SN Applied Sciences, 2022 - Springer
The impact of rice plant diseases has led to a 37% annual drop in rice production. It may
happen basically due to the lack of knowledge in identifying and controlling rice plant …
happen basically due to the lack of knowledge in identifying and controlling rice plant …
[HTML][HTML] Construction of international important wetland White-headed crane ecological corridor in Chongming Dongtan, China
Z Xu, B Dong, C Wang, X Gao, H Xu, Z Wei, Z Lu… - Ecological …, 2023 - Elsevier
Abstract At the Yangtze River estuary, the Chongming Dongtan International Important
Wetland is a typical estuary wetland. It is an essential habitat for international migratory …
Wetland is a typical estuary wetland. It is an essential habitat for international migratory …
A comprehensive review on plant disease diagnosis and controlling using convolutional neural networks
G Udayananda, P Kumara - 2022 3rd international conference …, 2022 - ieeexplore.ieee.org
Rice plant diseases cause to reduce 37% of Rice productions annually. This happens due to
late detection of diseases and lack of knowledge about Rice plant diseases. This could be …
late detection of diseases and lack of knowledge about Rice plant diseases. This could be …
Automated Detection and Classification of Rice Crop Diseases Using Advanced Image Processing and Machine Learning Techniques.
S Chaudhary, U Kumar - Traitement du Signal, 2024 - search.ebscohost.com
Agriculture, a pivotal sector in the Indian economy, plays a crucial role in national
development. A significant challenge within this domain is the detection of crop diseases …
development. A significant challenge within this domain is the detection of crop diseases …
A Small Target Detection Method Based on the Improved FCN Model
G Ma - Advances in Multimedia, 2022 - Wiley Online Library
Traditional object detection is mainly aimed at large objects in images. The main function
achieved is to identify the shape, color, and trajectory of the target. However, in practice …
achieved is to identify the shape, color, and trajectory of the target. However, in practice …
Dissected Scene Character Recognition Using HOG Descriptors
P Sengupta, AF Mollah - Internet of Things and Its Applications: Select …, 2022 - Springer
Automatic scene text recognition is an interesting problem in computer vision and Internet of
things. It may facilitate intelligent interaction between machines and mankind in today's …
things. It may facilitate intelligent interaction between machines and mankind in today's …
Study to Find Optimal Solution for Multi-objects Detection by Background Image Subtraction with CNN in Real-Time Surveillance System
R Sangle, AK Jetawat - Proceedings of International Conference on …, 2022 - Springer
Now a day, video surveillance has gained the most attention in real-time applications.
Because of the improvement in domain of machine learning, various methodologies have …
Because of the improvement in domain of machine learning, various methodologies have …
Research on real time image processing technology of airborne infrared camera
R Zhu, H Zhang, Z Wang, D Xu… - Seventh Asia Pacific …, 2022 - spiedigitallibrary.org
In the real-time image processing system of the airborne infrared camera, how to process a
large amount of data and information in a limited time and effectively meet the real-time …
large amount of data and information in a limited time and effectively meet the real-time …
Research on real time image processing technology of airborne infrared camera
Z Rongzhen, Z Haibo, W Zhaohui, X Dinggen… - system - spiedigitallibrary.org
In the real-time image processing system of the airborne infrared camera, how to process a
large amount of data and information in a limited time and effectively meet the real-time …
large amount of data and information in a limited time and effectively meet the real-time …