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Apple scab is a fungal disease caused by Venturia inaequalis. Disease is of particular concern for growers, as it causes significant damage to fruit and leaves, leading to loss of fruit and yield. This article examines the ability of deep…

Computer Vision and Pattern Recognition · Computer Science 2023-02-20 Robert Rouš , Joseph Peller , Gerrit Polder , Selwin Hageraats , Thijs Ruigrok , Pieter M. Blok

Apple diseases, if not diagnosed early, can lead to massive resource loss and pose a serious threat to humans and animals who consume the infected apples. Hence, it is critical to diagnose these diseases early in order to manage plant…

Computer Vision and Pattern Recognition · Computer Science 2022-10-04 Kush Vora , Dishant Padalia

Diseases and pests cause huge economic loss to the apple industry every year. The identification of various apple diseases is challenging for the farmers as the symptoms produced by different diseases may be very similar, and may be present…

Computer Vision and Pattern Recognition · Computer Science 2020-12-24 Asif Iqbal Khan , SMK Quadri , Saba Banday

This study addresses the classification of defects in apples as a crucial measure to mitigate economic losses and optimize the food supply chain. An innovative approach is employed that integrates images from the visible spectrum and 660 nm…

Computer Vision and Pattern Recognition · Computer Science 2024-10-29 Omar Coello , Moisés Coronel , Darío Carpio , Boris Vintimilla , Luis Chuquimarca

The rapid growth of the global population, alongside exponential technological advancement, has intensified the demand for food production. Meeting this demand depends not only on increasing agricultural yield but also on minimizing food…

Computer Vision and Pattern Recognition · Computer Science 2026-01-30 Md Nadim Mahamood , Md Imran Hasan , Md Rasheduzzaman , Ausrukona Ray , Md Shafi Ud Doula , Kamrul Hasan

Rice is considered a strategic crop in Egypt as it is regularly consumed in the Egyptian people's diet. Even though Egypt is the highest rice producer in Africa with a share of 6 million tons per year, it still imports rice to satisfy its…

Computer Vision and Pattern Recognition · Computer Science 2023-09-13 Yara Ali Alnaggar , Ahmad Sebaq , Karim Amer , ElSayed Naeem , Mohamed Elhelw

Agriculture is the mainstay of human society because it is an essential need for every organism. Paddy cultivation is very significant so far as humans are concerned, largely in the Asian continent, and it is one of the staple foods.…

Computer Vision and Pattern Recognition · Computer Science 2022-08-09 Petchiammal A , Briskline Kiruba S , D. Murugan

Apple orchards require timely disease detection, fruit quality assessment, and yield estimation, yet existing UAV-based systems address such tasks in isolation and often rely on costly multispectral sensors. This paper presents a unified,…

Computer Vision and Pattern Recognition · Computer Science 2026-01-05 Soham Dutta , Soham Banerjee , Sneha Mahata , Anindya Sen , Sayantani Datta

Agriculture is an essential industry in the both society and economy of a country. However, the pests and diseases cause a great amount of reduction in agricultural production while there is not sufficient guidance for farmers to avoid this…

Computer Vision and Pattern Recognition · Computer Science 2021-07-28 Daping Zhang , Hongyu Yang , Jiayu Cao

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

Diseases in fruit cause devastating problem in economic losses and production in agricultural industry worldwide. In this paper, an adaptive approach for the identification of fruit diseases is proposed and experimentally validated. The…

Computer Vision and Pattern Recognition · Computer Science 2014-08-05 Shiv Ram Dubey , Anand Singh Jalal

Crop failure owing to pests & diseases are inherent within Indian agriculture, leading to annual losses of 15 to 25% of productivity, resulting in a huge economic loss. This research analyzes the performance of various optimizers for…

Computer Vision and Pattern Recognition · Computer Science 2022-01-04 Shreyas Rajesh Labhsetwar , Soumya Haridas , Riyali Panmand , Rutuja Deshpande , Piyush Arvind Kolte , Sandhya Pati

One of the major goals of tomorrow's agriculture is to increase agricultural productivity but above all the quality of production while significantly reducing the use of inputs. Meeting this goal is a real scientific and technological…

Image and Video Processing · Electrical Eng. & Systems 2020-05-14 Mohamed Kerkech , Adel Hafiane , Raphael Canals

As the global food security landscape continues to evolve, the need for accurate and reliable crop disease diagnosis has never been more pressing. To address global food security concerns, we extend the widely used PlantVillage dataset with…

Computer Vision and Pattern Recognition · Computer Science 2024-10-31 Joseph Damilola Akinyemi , Kolawole John Adebayo

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

The advances in computer vision made possible by deep learning technology are increasingly being used in precision agriculture to automate the detection and classification of plant diseases. Symptoms of plant diseases are often seen on…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Youcef Ferdi

The large data size and dimensionality of hyperspectral data demands complex processing and data analysis. Multispectral data do not suffer the same limitations, but are normally restricted to blue, green, red, red edge, and near infrared…

Computer Vision and Pattern Recognition · Computer Science 2021-03-10 Ryan Omidi , Ali Moghimi , Alireza Pourreza , Mohamed El-Hadedy , Anas Salah Eddin

Nitrogen (N) is one of the most critical nutrients in winegrape production, influencing vine vigor, fruit composition, and wine quality. Because soil N availability varies spatially and temporally, accurate estimation of leaf N…

Charcoal rot is a fungal disease that thrives in warm dry conditions and affects the yield of soybeans and other important agronomic crops worldwide. There is a need for robust, automatic and consistent early detection and quantification of…

Computer Vision and Pattern Recognition · Computer Science 2017-10-16 Koushik Nagasubramanian , Sarah Jones , Soumik Sarkar , Asheesh K. Singh , Arti Singh , Baskar Ganapathysubramanian

Late blight disease is one of the most destructive diseases in potato crop, leading to serious yield losses globally. Accurate diagnosis of the disease at early stage is critical for precision disease control and management. Current farm…

Computer Vision and Pattern Recognition · Computer Science 2021-07-29 Yue Shi , Liangxiu Han , Anthony Kleerekoper , Sheng Chang , Tongle Hu
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