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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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机与社会 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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.…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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,…

计算机视觉与模式识别 · 计算机科学 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…

图像与视频处理 · 电气工程与系统科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 2025-01-08 Md. Jalal Uddin Chowdhury , Zumana Islam Mou , Rezwana Afrin , Shafkat Kibria
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