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Apple orchards in the U.S. are under constant threat from a large number of pathogens and insects. Appropriate and timely deployment of disease management depends on early disease detection. Incorrect and delayed diagnosis can result in…

Computer Vision and Pattern Recognition · Computer Science 2020-04-28 Ranjita Thapa , Noah Snavely , Serge Belongie , Awais Khan

Plant leaf diseases pose a significant danger to food security and they cause depletion in quality and volume of production. Therefore accurate and timely detection of leaf disease is very important to check the loss of the crops and meet…

Computer Vision and Pattern Recognition · Computer Science 2021-07-13 Atul Sharma , Bulla Rajesh , Mohammed Javed

Plant diseases pose significant challenges to farmers and the agricultural sector at large. However, early detection of plant diseases is crucial to mitigating their effects and preventing widespread damage, as outbreaks can severely impact…

Computer Vision and Pattern Recognition · Computer Science 2025-07-02 Bosubabu Sambana , Hillary Sunday Nnadi , Mohd Anas Wajid , Nwosu Ogochukwu Fidelia , Claudia Camacho-Zuñiga , Henry Dozie Ajuzie , Edeh Michael Onyema

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

The agricultural sector plays an essential role in the economic growth of a country. Specifically, in an Indian context, it is the critical source of livelihood for millions of people living in rural areas. Plant Disease is one of the…

Computer Vision and Pattern Recognition · Computer Science 2024-04-29 Saurav Sagar , Mohammed Javed , David S Doermann

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

Addressing plant diseases and pests is critical for enhancing crop production and preventing economic losses. Recent advances in artificial intelligence (AI), machine learning (ML), and deep learning (DL) have significantly improved the…

Computer Vision and Pattern Recognition · Computer Science 2025-08-13 Saptarshi Banerjee , Tausif Mallick , Amlan Chakroborty , Himadri Nath Saha , Nityananda T. Takur

Plant diseases significantly threaten global food security by reducing crop yields and undermining agricultural sustainability. AI-driven automated classification has emerged as a promising solution, with deep learning models demonstrating…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Moshiur Rahman Tonmoy , Md. Mithun Hossain , Nilanjan Dey , M. F. Mridha

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 disease that limits a plant from its maximal capacity is defined as plant disease. From the perspective of agriculture, diagnosing plant disease is crucial, as diseases often limit plants' production capacity. However, manual approaches…

Computer Vision and Pattern Recognition · Computer Science 2020-11-11 Muhammad Mohsin Kabir , Abu Quwsar Ohi , M. F. Mridha

Farmers face several challenges when growing crops like uncertain irrigation, poor soil quality, etc. Especially in India, a major fraction of farmers do not have the knowledge to select appropriate crops and fertilizers. Moreover, crop…

Machine Learning · Computer Science 2022-04-26 Shloka Gupta , Akshay Chopade , Nishit Jain , Aparna Bhonde

Artificial intelligence has significantly advanced the automation of diagnostic processes, benefiting various fields including agriculture. This study introduces an AI-based system for the automatic diagnosis of urban street plants using…

Computer Vision and Pattern Recognition · Computer Science 2024-07-04 Marc Josep Montagut Marques , Liu Mingxin , Kuri Thomas Shiojiri , Tomika Hagiwara , Kayo Hirose , Kaori Shiojiri , Shinjiro Umezu

Over the past decade, several image-processing methods and algorithms have been proposed for identifying plant diseases based on visual data. DNN (Deep Neural Networks) have recently become popular for this task. Both traditional image…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 Mahendra Kumar Gohil , Anirudha Bhattacharjee , Rwik Rana , Kishan Lal , Samir Kumar Biswas , Nachiketa Tiwari , Bishakh Bhattacharya

Practical automated detection and diagnosis of plant disease from wide-angle images (i.e. in-field images containing multiple leaves using a fixed-position camera) is a very important application for large-scale farm management, in view of…

Computer Vision and Pattern Recognition · Computer Science 2019-11-25 Katsumasa Suwa , Quan Huu Cap , Ryunosuke Kotani , Hiroyuki Uga , Satoshi Kagiwada , Hitoshi Iyatomi

The agriculture sector is essential for every country because it provides a basic income to a large number of people and food as well, which is a fundamental requirement to survive on this planet. We see as time passes, significant changes…

Computer Vision and Pattern Recognition · Computer Science 2021-01-05 Ginni Garg , Mantosh Biswas

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

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

Human society needs to increase food production by an estimated 70% by 2050 to feed an expected population size that is predicted to be over 9 billion people. Currently, infectious diseases reduce the potential yield by an average of 40%…

Computers and Society · Computer Science 2016-04-13 David. P. Hughes , Marcel Salathe

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

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