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Related papers: Rice Leaf Disease Classification and Detection Usi…

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Rice is a staple food of global importance in terms of trade, nutrition, and economic growth. Among Asian nations such as China, India, Pakistan, Thailand, Vietnam and Indonesia are leading producers of both long and short grain varieties,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-28 Hamza Khan

Leaf disease is a common fatal disease for plants. Early diagnosis and detection is necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting leaf disease, several automated systems have already been…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Sumaya Mustofa , Md Mehedi Hasan Munna , Yousuf Rayhan Emon , Golam Rabbany , Md Taimur Ahad

We have developed a comprehensive computer system to assist farmers who practice traditional farming methods and have limited access to agricultural experts for addressing crop diseases. Our system utilizes artificial intelligence (AI) to…

Computer Vision and Pattern Recognition · Computer Science 2023-10-11 Yagya Raj Pandeya , Samin Karki , Ishan Dangol , Nitesh Rajbanshi

In the poultry industry, detecting chicken illnesses is essential to avoid financial losses. Conventional techniques depend on manual observation, which is laborious and prone to mistakes. Using YOLO v8 a deep learning model for real-time…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Akhil Saketh Reddy Sabbella , Ch. Lakshmi Prachothan , Eswar Kumar Panta

In Bangladesh, tomatoes are a staple vegetable, prized for their versatility in various culinary applications. However, the cultivation of tomatoes is often hindered by a range of diseases that can significantly reduce crop yields and…

Computer Vision and Pattern Recognition · Computer Science 2025-02-27 Mangsura Kabir Oni , Tabia Tanzin Prama

Plant disease diagnosis is essential to farmers' management choices because plant diseases frequently lower crop yield and product quality. For harvests to flourish and agricultural productivity to boost, grape leaf disease detection is…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 B. M. Shahria Alam , Md. Nasim Ahmed

Tea leaf diseases are a major challenge to agricultural productivity, with far-reaching implications for yield and quality in the tea industry. The rise of machine learning has enabled the development of innovative approaches to combat…

Computer Vision and Pattern Recognition · Computer Science 2023-11-07 Faruk Ahmed , Md. Taimur Ahad , Yousuf Rayhan Emon

In this research, an attention-based depthwise separable neural network with Bayesian optimization (ADSNN-BO) is proposed to detect and classify rice disease from rice leaf images. Rice diseases frequently result in 20 to 40 \% corp…

Computer Vision and Pattern Recognition · Computer Science 2022-01-05 Yibin Wang , Haifeng Wang , Zhaohua Peng

Tea is among the most widely consumed drinks globally. Tea production is a key industry for many countries. One of the main challenges in tea harvesting is tea leaf diseases. If the spread of tea leaf diseases is not stopped in time, it can…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Omar Faruq Shikdar , Fahad Ahammed , B. M. Shahria Alam , Golam Kibria , Tawhidur Rahman , Nishat Tasnim Niloy

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

Accurately detecting rice flowering time is crucial for timely pollination in hybrid rice seed production. This not only enhances pollination efficiency but also ensures higher yields. However, due to the complexity of field environments…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Beizhang Chen , Jinming Liang , Zheng Xiong , Ming Pan , Xiangbao Meng , Qingshan Lin , Qun Ma , Yingping Zhao

Identification of plant disease is usually done through visual inspection or during laboratory examination which causes delays resulting in yield loss by the time identification is complete. On the other hand, complex deep learning models…

Computer Vision and Pattern Recognition · Computer Science 2021-02-10 Nisar Ahmed , Hafiz Muhammad Shahzad Asif , Gulshan Saleem

Cotton crops, often called "white gold," face significant production challenges, primarily due to various leaf-affecting diseases. As a major global source of fiber, timely and accurate disease identification is crucial to ensure optimal…

Computer Vision and Pattern Recognition · Computer Science 2025-06-27 Aswini Kumar Patra , Tejashwini Gajurel

Development of either drought-resistant or drought-tolerant varieties in rice (Oryza sativa L.), especially for high yield in the context of climate change, is a crucial task across the world. The need for high yielding rice varieties is a…

This study addresses the demand for real-time detection of tomatoes and tomato flowers by agricultural robots deployed on edge devices in greenhouse environments. Under practical imaging conditions, object detection systems often face…

Image and Video Processing · Electrical Eng. & Systems 2026-02-02 Hung-Chih Tu , Bo-Syun Chen , Yun-Chien Cheng

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

Spot spraying represents an efficient and sustainable method for reducing the amount of pesticides, particularly herbicides, used in agricultural fields. To achieve this, it is of utmost importance to reliably differentiate between crops…

Computer Vision and Pattern Recognition · Computer Science 2025-01-31 Alicia Allmendinger , Ahmet Oğuz Saltık , Gerassimos G. Peteinatos , Anthony Stein , Roland Gerhards

Correct identification and categorization of plant diseases are crucial for ensuring the safety of the global food supply and the overall financial success of stakeholders. In this regard, a wide range of solutions has been made available…

Computer Vision and Pattern Recognition · Computer Science 2023-04-14 Md. Hamjajul Ashmafee , Tasnim Ahmed , Sabbir Ahmed , Md. Bakhtiar Hasan , Mst Nura Jahan , A. B. M. Ashikur Rahman

With increasing population the crisis of food is getting bigger day by day.In this time of crisis,the leaf disease of crops is the biggest problem in the food industry.In this paper, we have addressed that problem and proposed an efficient…

Computer Vision and Pattern Recognition · Computer Science 2021-05-18 Subhajit Maity , Sujan Sarkar , Avinaba Tapadar , Ayan Dutta , Sanket Biswas , Sayon Nayek , Pritam Saha

In the last decades, the area under cultivation of maize products has increased because of its essential role in the food cycle for humans, livestock, and poultry. Moreover, the diseases of plants impact food safety and can significantly…

Computer Vision and Pattern Recognition · Computer Science 2022-05-10 Saeedeh Osouli , Behrouz Bolourian Haghighi , Ehsan Sadrossadat