Proceedings of International Joint Conference on Advances in Computational Intelligence
IJCACI 2023
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19 Result(s)
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Book and Conference Proceedings
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Chapter
Deep Learning Modeling for Gourd Species Recognition Using VGG-16
About a hundred types of fresh vegetables are bought and sold in Bangladeshi local markets. The appearance of these vegetables seems to overlap in many cases, which leads urban people to get confused to recogn...
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Chapter
Freshness Identification of Fruits Through the Development of a Dataset
In the agricultural industry, fruit quality, grading, and packaging are significant issues that depend on identifying the freshness of fruits. Usually, people manually solve these problems through the identifi...
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Book and Conference Proceedings
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Book
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Chapter
Computer Vision and Machine Learning in Agriculture: An Introduction
The agriculture sector is the backbone of most of the country’s economy.
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Article
Recognition of human skin diseases using inception-V3 with transfer learning
Skin disease is an irritable disease and may be the motive of deadly to human life. So, all of us ought to be aware of this alarming health problem. Recognition of skin diseases is a very challenging task beca...
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Article
An expert system for selecting optimal cloud-service provider
Selection of the optimal cloud service provider is an important issue for business accessibility of cloud benefits as well as various costs and requirements. This paper aims to develop an expert system to rank...
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Chapter
Deep Learning-Based Cauliflower Disease Classification
Monitoring plant diseases manually is not an easy task because of its requirements of gigantic measure of work and exorbitant time. Convolutional neural network shows an efficient way of doing automation of th...
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Chapter and Conference Paper
Deep Learning-Based Lentil Leaf Disease Classification
Ascochyta blight, Anthracnose, Mold and Rust are the four most common diseases of lentil leaves that extremely affect the lentil field. Nevertheless, current research deficiencies a real-time detection tool fo...
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Chapter
Harvesting Robots for Smart Agriculture
The agricultural sector has been rendered under tremendous strain due to rapid population growth. However, with technological advancements, this decade has been witnessing a paradigm shift from traditional to ...
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Chapter and Conference Paper
Quality Analysis of PATHAO Ride-Sharing Service in Bangladesh
This research intends to analyze the factors that influence the user’s behavioral intention on one of the most popular ride-sharing services in Bangladesh: PATHAO. These factors are derived from few speculatio...
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Chapter and Conference Paper
Computer Vision-Based Algorithms on Zebra Crossing Navigation
A zebra crossing, which is specified as extensive white bands painted on typical black roads, is a pathway for pedestrians to cross a road. Pedestrians need to find a zebra crossing to negotiate a road. Findin...
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Chapter
Medicinal Plant Recognition from Leaf Images Using Deep Learning
Recognition of medicinal plants is very important to enhance plant cultivation, boost production in the medical industry as well as protect the plant species from extinction. The plant leaf is a key feature in...
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Article
Design and implementation of an internet of things based low-cost smart weather prediction system
In the present era, the internet of things (IoT) plays an important role in diverse domains, including weather prediction. Accurate weather forecasting is very crucial for the huge production of crops. Differe...
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Chapter
Introduction to Computer Vision and Machine Learning Applications in Agriculture
Agricultural sustainability can be attained through vision-enabled autonomous machines that work together as a phenomenon to ensure global food security. The demand for efficient as well as reliable food produ...
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Chapter
Machine Vision-Based Fruit and Vegetable Disease Recognition: A Review
The agriculture sector is a very much potential application domain for computer vision—a major branch of artificial intelligence. Many efforts have been made using different computer vision techniques to addre...
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Chapter
An In-Depth Analysis of Different Segmentation Techniques in Automated Local Fruit Disease Recognition
Image segmentation is a significant processing stride in a large number of machine vision applications. Although there exist different techniques for segmentation, it is important to determine and find an opti...
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Chapter
Robots and Drones in Agriculture—A Survey
The world’s economy predominantly depends on agriculture. Increasing population growth along with an inadequate supply of modern agricultural resources is resulting in famine, which causes a dreadful recession...
