Hand-Crafted Feature Extraction and Deep Learning Models for Leaf Image Recognition
A Gladston, B Sucithra - Handbook of Research on Computer Vision …, 2023 - igi-global.com
Plant leaf recognition has been carried out widely using low-level features. Scale invariant
feature transform technique has been used to extract the low-level features. Leaves that …
feature transform technique has been used to extract the low-level features. Leaves that …
Deep Learning Approaches for Plant Disease Management: A State-of-the-Art Analysis
LB Rananavare - 2023 7th International Conference on …, 2023 - ieeexplore.ieee.org
Plant diseases pose a serious threat to agriculture, resulting in substantial financial losses
and limiting the availability of food. Manually recognizing and classifying plant diseases may …
and limiting the availability of food. Manually recognizing and classifying plant diseases may …
Cost Effective Multifunctional Agri Robotrone Technology for Vegetable Plant Leaf Disease Identification and Prevention
V Thirumurugan, S Thirumal, N Kumar… - 2024 10th …, 2024 - ieeexplore.ieee.org
In the development of digital agriculture, agricultural robots play a unique role. In India, 50
percent of the farmers are comes under small level. Agriculture robot and drone technology …
percent of the farmers are comes under small level. Agriculture robot and drone technology …
Grape Leaves Segmentation using an Improved Graph-Based Approach.
V Narasimman, K Thiyagarajan - Revue d'Intelligence …, 2022 - search.ebscohost.com
The study of plant pictures is very beneficial to agriculture and is sustainable. It is used to
precisely and often record data on plant development, yield, breadth, and height of the plant …
precisely and often record data on plant development, yield, breadth, and height of the plant …