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Herb classification presents a critical challenge in botanical research, particularly in regions with rich biodiversity such as Nepal. This study introduces a novel deep learning approach for classifying 60 different herb species using…

Machine Learning · Computer Science 2025-05-06 Prajwal Thapa , Mridul Sharma , Jinu Nyachhyon , Yagya Raj Pandeya

Deep learning is currently the most important branch of machine learning, with applications in speech recognition, computer vision, image classification, and medical imaging analysis. Plant recognition is one of the areas where image…

Computer Vision and Pattern Recognition · Computer Science 2022-09-08 Thiru Siddharth , Bhupendra Singh Kirar , Dheeraj Kumar Agrawal

The number of people living in this agricultural nation of ours, which is surrounded by lush greenery, is growing on a daily basis. As a result of this, the level of arable land is decreasing, as well as residential houses and industrial…

Computer Vision and Pattern Recognition · Computer Science 2025-01-17 Sadia Afrin Rimi , Md. Jalal Uddin Chowdhury , Rifat Abdullah , Iftekhar Ahmed , Mahrima Akter Mim , Mohammad Shoaib Rahman

A very crucial part of Bangladeshi people's employment, GDP contribution, and mainly livelihood is agriculture. It plays a vital role in decreasing poverty and ensuring food security. Plant diseases are a serious stumbling block in…

Computer Vision and Pattern Recognition · Computer Science 2025-01-08 Md. Jalal Uddin Chowdhury , Zumana Islam Mou , Rezwana Afrin , Shafkat Kibria

A convolutional neural network (CNN) is a deep learning algorithm that has been specifically designed for computer vision applications. The CNNs proved successful in handling the increasing amount of data in many computer vision problems,…

Computer Vision and Pattern Recognition · Computer Science 2026-01-23 Mustafa Yurdakul , Enes Ayan , Fahrettin Horasan , Sakir Tasdemir

Leaf diseases are harmful conditions that affect the health, appearance and productivity of plants, leading to significant plant loss and negatively impacting farmers' livelihoods. These diseases cause visible symptoms such as lesions,…

Computer Vision and Pattern Recognition · Computer Science 2025-06-23 Faika Fairuj Preotee , Shuvashis Sarker , Shamim Rahim Refat , Tashreef Muhammad , Shifat Islam

Most weed species can adversely impact agricultural productivity by competing for nutrients required by high-value crops. Manual weeding is not practical for large cropping areas. Many studies have been undertaken to develop automatic weed…

Computer Vision and Pattern Recognition · Computer Science 2021-12-16 A S M Mahmudul Hasan , Ferdous Sohel , Dean Diepeveen , Hamid Laga , Michael G. K. Jones

Agriculture plays an important role in the food and economy of Bangladesh. The rapid growth of population over the years also has increased the demand for food production. One of the major reasons behind low crop production is numerous…

Computer Vision and Pattern Recognition · Computer Science 2023-09-13 Hasin Rehana , Muhammad Ibrahim , Md. Haider Ali

Entomologists, ecologists and others struggle to rapidly and accurately identify the species of bumble bees they encounter in their field work and research. The current process requires the bees to be mounted, then physically shipped to a…

Computer Vision and Pattern Recognition · Computer Science 2020-06-23 Venkat Margapuri , George Lavezzi , Robert Stewart , Dan Wagner

Advances in deep learning and transfer learning have paved the way for various automation classification tasks in agriculture, including plant diseases, pests, weeds, and plant species detection. However, agriculture automation still faces…

Computer Vision and Pattern Recognition · Computer Science 2022-10-07 Zahraa Al Sahili , Mariette Awad

The rapid advances in Deep Learning (DL) techniques have enabled rapid detection, localisation, and recognition of objects from images or videos. DL techniques are now being used in many applications related to agriculture and farming.…

Computer Vision and Pattern Recognition · Computer Science 2021-03-03 A S M Mahmudul Hasan , Ferdous Sohel , Dean Diepeveen , Hamid Laga , Michael G. K. Jones

Plant disease detection is a huge problem and often require professional help to detect the disease. This research focuses on creating a deep learning model that detects the type of disease that affected the plant from the images of the…

Computer Vision and Pattern Recognition · Computer Science 2020-03-12 Anjaneya Teja Sarma Kalvakolanu

To optimize fruit production, a portion of the flowers and fruitlets of apple trees must be removed early in the growing season. The proportion to be removed is determined by the bloom intensity, i.e., the number of flowers present in the…

Computer Vision and Pattern Recognition · Computer Science 2018-09-18 Philipe A. Dias , Amy Tabb , Henry Medeiros

Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and…

Computer Vision and Pattern Recognition · Computer Science 2016-04-18 Sharada Prasanna Mohanty , David Hughes , Marcel Salathe

In nations such as Bangladesh, agriculture plays a vital role in providing livelihoods for a significant portion of the population. Identifying and classifying plant diseases early is critical to prevent their spread and minimize their…

Computer Vision and Pattern Recognition · Computer Science 2025-01-14 Samia Mehnaz , Md. Touhidul Islam

The field of image classification has shown an outstanding success thanks to the development of deep learning techniques. Despite the great performance obtained, most of the work has focused on natural images ignoring other domains like…

Computer Vision and Pattern Recognition · Computer Science 2019-02-07 Manuel Lagunas , Elena Garces

In certain Asian countries, Jute is one of the primary sources of income and Gross Domestic Product (GDP) for the agricultural sector. Like many other crops, Jute is prone to pest infestations, and its identification is typically made…

Early and precise diagnosis of diseases in plants can help to develop an early treatment technique. Plant diseases degrade both the quantity and quality of crops, thus posing a threat to food security and resulting in huge economic losses.…

Image and Video Processing · Electrical Eng. & Systems 2022-08-17 Bhavya Jain , Sasikumar Periyasamy

Tea is a valuable asset for the economy of Bangladesh. So, tea cultivation plays an important role to boost the economy. These valuable plants are vulnerable to various kinds of leaf infections which may cause less production and low…

Computer Vision and Pattern Recognition · Computer Science 2026-02-13 Samanta Ghosh , Jannatul Adan Mahi , Shayan Abrar , Md Parvez Mia , Asaduzzaman Rayhan , Abdul Awal Yasir , Asaduzzaman Hridoy

Bird species classification has received more and more attention in the field of computer vision, for its promising applications in biology and environmental studies. Recognizing bird species is difficult due to the challenges of…

Computer Vision and Pattern Recognition · Computer Science 2018-10-12 Sourya Dipta Das , Akash Kumar
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