Tomato leaf disease detection using deep learning techniques
S Ashok, G Kishore, V Rajesh… - 2020 5th …, 2020 - ieeexplore.ieee.org
Early Detection of Plant Leaf Detection is a major necessity in a growing agricultural
economy like India. Not only as an agricultural economy but also with a large amount of …
economy like India. Not only as an agricultural economy but also with a large amount of …
Automated image capturing system for deep learning-based tomato plant leaf disease detection and recognition
RG De Luna, EP Dadios… - TENCON 2018-2018 IEEE …, 2018 - ieeexplore.ieee.org
Smart farming system using necessary infrastructure is an innovative technology that helps
improve the quality and quantity of agricultural production in the country including tomato …
improve the quality and quantity of agricultural production in the country including tomato …
Application of thermal and visible imaging to estimate stripe rust disease severity in wheat using supervised image classification methods
Reliable and accurate estimation of plant disease severity at the field scale is a key factor for
predicting yield losses, disease management and food security. A field experiment was …
predicting yield losses, disease management and food security. A field experiment was …
Tomato growth stage monitoring for smart farm using deep transfer learning with machine learning-based maturity grading
The tomato farming industry needs to adopt new ideas in applying the technology for its
growth monitoring and main. Machine vision and image processing techniques have …
growth monitoring and main. Machine vision and image processing techniques have …
Size classification of tomato fruit using thresholding, machine learning, and deep learning techniques
The size of tomato fruits is closely related to the market segment and price. Manual sorting in
tomato is very dependent on human interpretation and thus, very prone to error. The study …
tomato is very dependent on human interpretation and thus, very prone to error. The study …
Detection of tomato leaf diseases using transfer learning architectures: A comparative analysis
Plant diseases that can destructively harm the agriculture are usually spotted with bare eyes,
and this may consume a longer time leaving a chance of incorrect detection. Early detection …
and this may consume a longer time leaving a chance of incorrect detection. Early detection …
Development of Tomato Leaf Disease Prediction System to the Farmers by using Artificial Intelligent Network
Tomato leaf diseases have a big impact on yield and quality. The early-stage analysis and
categorization of tomato leaf diseases based on past knowledge may help to limit pathogen …
categorization of tomato leaf diseases based on past knowledge may help to limit pathogen …
AI-powered image-based tomato leaf disease detection
LSP Annabel, V Muthulakshmi - … conference on I-SMAC (IoT in …, 2019 - ieeexplore.ieee.org
The development of Artificial Intelligence over few decades had been incredible, where it
converts every segment of the global economy, including agriculture. The traditional …
converts every segment of the global economy, including agriculture. The traditional …
Physiological-based smart stress detector using machine learning algorithms
This paper is focused on the development of an intelligent system to identify if one person is
stress or not stress using physiological parameters through machine learning. In this study …
stress or not stress using physiological parameters through machine learning. In this study …
Thai herb identification with medicinal properties using convolutional neural network
L Mookdarsanit, P Mookdarsanit - Suan Sunandha Science and …, 2019 - li02.tci-thaijo.org
This paper builds an intelligent computer model to identify Thai herb from a single image
using convolutional neural network. Since Thailand is one of the world herbal source. We …
using convolutional neural network. Since Thailand is one of the world herbal source. We …