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One of the important and tedious task in agricultural practices is the detection of the disease on crops. It requires huge time as well as skilled labor. This paper proposes a smart and efficient technique for detection of crop disease…

Computer Vision and Pattern Recognition · Computer Science 2021-11-23 Pranesh Kulkarni , Atharva Karwande , Tejas Kolhe , Soham Kamble , Akshay Joshi , Medha Wyawahare

One of the critical biotic stress factors paddy farmers face is diseases caused by bacteria, fungi, and other organisms. These diseases affect plants' health severely and lead to significant crop loss. Most of these diseases can be…

Computer Vision and Pattern Recognition · Computer Science 2022-11-28 Petchiammal A , Briskline Kiruba S , D. Murugan , Pandarasamy A

Plant diseases pose significant threats to agriculture. It necessitates proper diagnosis and effective treatment to safeguard crop yields. To automate the diagnosis process, image segmentation is usually adopted for precisely identifying…

Computer Vision and Pattern Recognition · Computer Science 2024-09-09 Tianqi Wei , Zhi Chen , Xin Yu , Scott Chapman , Paul Melloy , Zi Huang

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

India, as a predominantly agrarian economy, faces significant challenges in agriculture, including substantial crop losses caused by diseases, pests, and environmental stress. Early detection and accurate identification of diseases across…

Computer Vision and Pattern Recognition · Computer Science 2025-07-04 Vivek Yadav , Anugrah Jain

Plant diseases significantly impact agricultural productivity, resulting in economic losses and food insecurity. Prompt and accurate detection is crucial for the efficient management and mitigation of plant diseases. This study investigates…

Computers and Society · Computer Science 2024-11-22 Md Aziz Hosen Foysal , Foyez Ahmed , Md Zahurul Haque

Plant diseases significantly impact our food supply, causing problems for farmers, economies reliant on agriculture, and global food security. Accurate and timely plant disease diagnosis is crucial for effective treatment and minimizing…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Bimarsha Khanal , Paras Poudel , Anish Chapagai , Bijan Regmi , Sitaram Pokhrel , Salik Ram Khanal

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

Plant diseases are considered one of the main factors influencing food production and minimize losses in production, and it is essential that crop diseases have fast detection and recognition. The recent expansion of deep learning methods…

Computer Vision and Pattern Recognition · Computer Science 2020-09-10 Andre S. Abade , Paulo Afonso Ferreira , Flavio de Barros Vidal

Plant disease recognition is a critical task that ensures crop health and mitigates the damage caused by diseases. A handy tool that enables farmers to receive a diagnosis based on query pictures or the text description of suspicious plants…

Computer Vision and Pattern Recognition · Computer Science 2024-08-28 Tianqi Wei , Zhi Chen , Xin Yu

Plant diseases are a major threat to food security globally. It is important to develop early detection systems which can accurately detect. The advancement in computer vision techniques has the potential to solve this challenge. We have…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Anand Kumar , Harminder Pal Monga , Tapasi Brahma , Satyam Kalra , Navas Sherif

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

Agriculture is a key sector of the economies of developing countries. It serves as a primary source of income and employment for rural populations. However, each year, a large portion of crops is wasted because of pests and diseases.…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Muhammad Kaleem Ullah Khan

Plant disease recognition has witnessed a significant improvement with deep learning in recent years. Although plant disease datasets are essential and many relevant datasets are public available, two fundamental questions exist. First, how…

Computer Vision and Pattern Recognition · Computer Science 2023-12-14 Mingle Xu , Ji Eun Park , Jaehwan Lee , Jucheng Yang , Sook Yoon

Plant diseases pose a significant threat to agricultural productivity and global food security, accounting for 70-80% of crop losses worldwide. Traditional detection methods rely heavily on expert visual inspection, which is time-consuming,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Santwana Sagnika , Manav Malhotra , Ishtaj Kaur Deol , Soumyajit Roy , Swarnav Kumar

Diseases in plants cause significant danger to productive and secure agriculture. Plant diseases can be detected early and accurately, reducing crop losses and pesticide use. Traditional methods of plant disease identification, on the other…

Image and Video Processing · Electrical Eng. & Systems 2024-10-04 Rikathi Pal , Anik Basu Bhaumik , Arpan Murmu , Sanoar Hossain , Biswajit Maity , Soumya Sen

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

India is an agriculture-dependent country. As we all know that farming is the backbone of our country it is our responsibility to preserve the crops. However, we cannot stop the destruction of crops by natural calamities at least we have to…

Computer Vision and Pattern Recognition · Computer Science 2019-08-27 S. Mohan Sai , G. Gopichand , C. Vikas Reddy , K. Mona Teja

Plant diseases are the primary cause of crop losses globally, with an impact on the world economy. To deal with these issues, smart agriculture solutions are evolving that combine the Internet of Things and machine learning for early…

Computer Vision and Pattern Recognition · Computer Science 2022-07-19 Poornima Singh Thakur , Pritee Khanna , Tanuja Sheorey , Aparajita Ojha

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
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