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Deep learning techniques to classify agricultural crops through UAV imagery: A review
During the last few years, Unmanned Aerial Vehicles (UAVs) technologies are widely used
to improve agriculture productivity while reducing drudgery, inspection time, and crop …
to improve agriculture productivity while reducing drudgery, inspection time, and crop …
Survey of feature extraction and classification techniques to identify plant through leaves
This paper provides a comprehensive survey of various techniques used in computer vision
for the automatic identification of plants with the help of leaf images. The extracted …
for the automatic identification of plants with the help of leaf images. The extracted …
Medicinal plant classification using particle swarm optimized cascaded network
Medicinal plants are essential to healthcare since ancient times and are integral to
develo** drugs and other medical treatments. More than 25% of medicines in developed …
develo** drugs and other medical treatments. More than 25% of medicines in developed …
Deep ensemble learning for automatic medicinal leaf identification
The therapeutic nature of medicinal plants and their ability to heal many diseases raises the
need for their automatic identification. Different parts of plants that help in their identification …
need for their automatic identification. Different parts of plants that help in their identification …
Advancing automatic plant classification system in Saudi Arabia: introducing a novel dataset and ensemble deep learning approach
Automated plant detection plays a pivotal role in various domains, including agriculture,
environmental monitoring, and biodiversity conservation. In this paper presents a novel …
environmental monitoring, and biodiversity conservation. In this paper presents a novel …
When bioprocess engineering meets machine learning: A survey from the perspective of automated bioprocess development
Abstract Machine learning (ML) is becoming increasingly crucial in many fields of
engineering but has not yet played out its full potential in bioprocess engineering. While …
engineering but has not yet played out its full potential in bioprocess engineering. While …
[HTML][HTML] Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images
Medicinal plants have got notable attention in recent years in the field of pharmaceutical and
drug research. The high demand of herbal medicine in the rural areas of develo** …
drug research. The high demand of herbal medicine in the rural areas of develo** …
[HTML][HTML] An effective ensemble convolutional learning model with fine-tuning for medicinal plant leaf identification
Accurate and efficient medicinal plant image classification is of utmost importance as these
plants produce a wide variety of bioactive compounds that offer therapeutic benefits. With a …
plants produce a wide variety of bioactive compounds that offer therapeutic benefits. With a …
Bamboo plant classification using deep transfer learning with a majority multiclass voting algorithm
Bamboos, also known as non-timber forest products (NTFPs) and belonging to the family
Poaceae and subfamily Bambusoideae, have a wide range of flowering cycles from 3 to 120 …
Poaceae and subfamily Bambusoideae, have a wide range of flowering cycles from 3 to 120 …
Medicinal plant classification using convolutional neural network and transfer learning
Medicinal plants are not only an essential source of therapeutic compounds but also an
alternative source of medications used by most people around the world. Due to recent …
alternative source of medications used by most people around the world. Due to recent …