Tomato leaf disease recognition on leaf images based on fine-tuned residual neural networks
PS Kanda, K Xia, A Kyslytysna, EO Owoola - Plants, 2022 - mdpi.com
Humans depend heavily on agriculture, which is the main source of prosperity. The various
plant diseases that farmers must contend with have constituted a lot of challenges in crop …
plant diseases that farmers must contend with have constituted a lot of challenges in crop …
[HTML][HTML] A novel hybrid biometric software application for facial recognition considering uncontrollable environmental conditions
VK HR, M Mathivanan - Healthcare Analytics, 2023 - Elsevier
Human face recognition research in biometric applications is a popular research subject
because of its various applications and challenges, including camera type, pose, light or …
because of its various applications and challenges, including camera type, pose, light or …
[HTML][HTML] Revealing leaf species through specific contour and region-based features extraction
DP Mahurkar, H Patidar - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
Leaf identification plays a vital role in plant classification and protection, and advancements
in artificial intelligence and machine vision have revolutionized leaf identification …
in artificial intelligence and machine vision have revolutionized leaf identification …
A Novel Computer Vision Model for Medicinal Plant Identification Using Log‐Gabor Filters and Deep Learning Algorithms
Computer vision is the science that enables computers and machines to see and perceive
image content on a semantic level. It combines concepts, techniques, and ideas from …
image content on a semantic level. It combines concepts, techniques, and ideas from …
[PDF][PDF] Novel Outline Tracing Techniques for Leaf Species Identification from Shrouded Leaves
DP MAHURKAR, H PATIDAR - Romanian Journal of Information …, 2023 - rria.ici.ro
Life on Earth depends heavily on plants. Various methods have been developed to extract a
plant leaf's attributes. In order to extract the characteristics, several classification techniques …
plant leaf's attributes. In order to extract the characteristics, several classification techniques …
Tinospora Cordifolia Leaf Detection from Drone Images Using Deep CNN
S Vasavi, A Sura, P Chimirala… - 2023 IEEE 5th …, 2023 - ieeexplore.ieee.org
Plant identification is critical in the medicinal plant sector. Plant identification, on the other
hand, is a difficult operation that demands skill and can be time-consuming, especially when …
hand, is a difficult operation that demands skill and can be time-consuming, especially when …
Predicting Voting Patterns Using Generative Adversarial Networks and Stack Star Classifier
This study explores the impact of parental political involvement and affiliations on the voting
behaviour of young adults in Ghana. The research had two key objectives: first, to develop a …
behaviour of young adults in Ghana. The research had two key objectives: first, to develop a …
An Early Recommendation Tool to Enhance Medicinal Plant Growth based on GIS and Soil Data
S Muskan, S Roopashree, B Abhina… - … Engineering & their …, 2023 - ieeexplore.ieee.org
Ayurvedic medicinal plants are in the spotlight, solving the major problem which is being
arisen in the modern world. Ayurvedic plants are acquiring great attention in the prescription …
arisen in the modern world. Ayurvedic plants are acquiring great attention in the prescription …
Comparison of naïve bayes and KNN for herbal leaf classification
BI Nugroho, MW Khusni, PS Ananda… - Jurnal Mandiri …, 2024 - ejournal.isha.or.id
This study aims to compare the effectiveness of two classification algorithms, namely Naïve
Bayes Classifier and K-Nearest Neighbor (KNN), in classifying herbal leaves. This research …
Bayes Classifier and K-Nearest Neighbor (KNN), in classifying herbal leaves. This research …
[PDF][PDF] Research Article ANovelComputerVisionModelforMedicinalPlantIdentification Using Log-Gabor Filters and Deep Learning Algorithms
Computer vision is the science that enables computers and machines to see and perceive
image content on a semantic level. It combines concepts, techniques, and ideas from …
image content on a semantic level. It combines concepts, techniques, and ideas from …