An AI based approach for medicinal plant identification using deep CNN based on global average pooling
Medicinal plants have always been studied and considered due to their high importance for
preserving human health. However, identifying medicinal plants is very time-consuming …
preserving human health. However, identifying medicinal plants is very time-consuming …
Identification of medicinal plants in ardabil using deep learning: identification of medicinal plants using deep learning
J Abdollahi - … computer conference, computer society of Iran …, 2022 - ieeexplore.ieee.org
Ardabil is well-known for offering the ideal environment for a good, cheap medicinal herb.
Various plant parts are used as essential components in producing natural medicines …
Various plant parts are used as essential components in producing natural medicines …
A study on medicinal plant leaf recognition using artificial intelligence
Medicinal plant recognition manually takes a lot of time and money. Moreover, to reduce
these resources, some researchers propose to implement artificial intelligence technology …
these resources, some researchers propose to implement artificial intelligence technology …
Compact convolutional transformer (CCT)-Based approach for whitefly attack detection in cotton crops
Cotton is one of the world's most economically significant agricultural products; however, it is
susceptible to numerous pest and virus attacks during the growing season. Pests (whitefly) …
susceptible to numerous pest and virus attacks during the growing season. Pests (whitefly) …
Prediction of pest insect appearance using sensors and machine learning
D Marković, D Vujičić, S Tanasković, B Đorđević… - Sensors, 2021 - mdpi.com
The appearance of pest insects can lead to a loss in yield if farmers do not respond in a
timely manner to suppress their spread. Occurrences and numbers of insects can be …
timely manner to suppress their spread. Occurrences and numbers of insects can be …
Medicinal Plant Classification Using Particle Swarm Optimized Cascaded Network
Medicinal plants are essential to healthcare since ancient times and are integral to
developing drugs and other medical treatments. More than 25% of medicines in developed …
developing drugs and other medical treatments. More than 25% of medicines in developed …
Ayur-PlantNet: An unbiased light weight deep convolutional neural network for Indian Ayurvedic plant species classification
Plant species classification using photo-based computer vision is challenging due to some
crucial factors such as poor illumination, overlapping leaves, occlusions from cross-domain …
crucial factors such as poor illumination, overlapping leaves, occlusions from cross-domain …
[PDF][PDF] Plant disease classification based on ConvLSTM U-net with fully connected convolutional layers
M Alharbi, SK Rajagopal, S Rajendran… - Traitement du …, 2023 - researchgate.net
Accepted: 10 February 2023 Plants are susceptible to a variety of illnesses throughout their
growth stages. One of the trickiest issues in agriculture is the early diagnosis of plant …
growth stages. One of the trickiest issues in agriculture is the early diagnosis of plant …
Deep neural network for multi‐class classification of medicinal plant leaves
Plant diseases are a critical issue in the farming industry, and early identification is essential
for plant monitoring. The leaves of plants represent the majority of disease symptoms …
for plant monitoring. The leaves of plants represent the majority of disease symptoms …
Cascading feature filtering and boosting algorithm for plant type classification based on image features
A Bakhshipour - IEEE Access, 2021 - ieeexplore.ieee.org
Crop and weeds identification is of important steps towards the development of efficient
automotive weed control systems. The higher the accuracy of plant detection and …
automotive weed control systems. The higher the accuracy of plant detection and …