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Plant Data Generation with Generative AI: An Application to Plant Phenoty**
Plant phenoty** is the study of plants’ physiological, morphological and biochemical traits resulting from their interaction with the environment.... -
Revolutionizing Plant Disease Detection with CNN and Deep Learning
Recent advancements in plant leaf disease detection using image analysis have sparked a reevaluation of farming practices, especially in... -
Machine Learning Based Plant Disease Detection Using EfficientNet B7
Plant diseases have effects on the growth and production of the plant. Plant diseases can be figured out by using digital image processing, and... -
Plant Disease Recognition Using Machine Learning and Deep Learning Classifiers
Plant diseases are a major threat to agricultural production globally, resulting in decreased crop yields and financial difficulties. For these... -
Enhancing YOLOv7 for Plant Organs Detection Using Attention-Gate Mechanism
Herbarium scans are valuable raw data for studying how plants adapt to climate change and respond to various factors. Characterization of plant... -
Detection of plant leaf disease using advanced deep learning architectures
Food is the basic necessity for human survival and plant diseases act as a critical hindrance to the quality of harvested crops. Timely...
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Deep Learning Based Recognition of Plant Diseases
Every country's primary requirement is agricultural products. Infected plants have an impact on the agricultural production and economic resources of... -
Disease Classification in Cassava Plant by Artificial Neural Network
In this work, a machine learning model for detecting cassava plant leaf disease is developed. The cassava plant is the world's second-largest... -
Diagnosis of Plant Diseases by Image Processing Model for Sustainable Solutions
The first step in preventing losses in agricultural product output and quantity is to identify plant diseases. A significant loss in crop output and... -
Intelligent plant disease diagnosis using convolutional neural network: a review
In recent times use of different technologies for intelligent crop production is growing. To increase the production of crops, diagnosing a plant...
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Medicinal Plant Identification in Real-Time Using Deep Learning Model
Medicinal plants have a long tradition of being cultivated and harvested in India. The Indian Forest is the principal repository for many useful...
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Systematic study on deep learning-based plant disease detection or classification
Plant diseases impact extensively on agricultural production growth. It results in a price hike on food grains and vegetables. To reduce economic...
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Review of plant leaf recognition
Plants can be seen everywhere in daily life and are closely connected with our lives. The recognition and classification of plants are of great...
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CottonLeafNet: cotton plant leaf disease detection using deep neural networks
India is a cover crop region whereby agricultural production sustains a substantial proportion of the populace and upon which the whole Indian...
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Deep Learning-Based Plant Leaf Disease Detection Using Scaled Immutable Feature Selection Using Adaptive Deep Convolutional Recurrent Neural Network
Agriculture provides food and raw materials that are the bedrock of all nations. It is very essential to humans as a source of food. Plant diseases...
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Cloud-Based IoT Controlled System Model for Plant Disease Monitoring
Farming is a major source of food and income and very essential for living. Farmers face a lot of difficulties due to pest infestation every year. In... -
A hybrid deep learning neural network for early plant disease diagnosis using a real-world Wheat–Barley vision dataset: challenges and solutions
Approximately 35% of India’s annual crop yield is lost due to plant diseases. Due to a lack of lab equipment and infrastructure, early diagnosis of...
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The Typology of Plant-Computer Interaction Under the Sustainability Dialogue - Take Plant-Smart Furniture as an Example
The research aims to explore the role of plants in today’s society and the added values and sustainable potentials through interaction with machines... -
Cognitive Weeding: An Approach to Single-Plant Specific Weed Regulation
This paper provides a comprehensive overview of the architecture required to implement selective weeding in arable farming, as developed within the...
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Plant Landscape Configuration Method of Regional Characteristic Rainwater Garden Based on Deep Learning
With the acceleration of urbanization and the continuous expansion and construction of cities, more and more cities in China are facing increasingly...