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Automation in agriculture plays a vital role in addressing challenges related to crop monitoring and disease management, particularly through early detection systems. This study investigates the effectiveness of combining multimodal Large…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Konstantinos I. Roumeliotis , Ranjan Sapkota , Manoj Karkee , Nikolaos D. Tselikas , Dimitrios K. Nasiopoulos

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

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 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 diseases serve as one of main threats to food security and crop production. It is thus valuable to exploit recent advances of artificial intelligence to assist plant disease diagnosis. One popular approach is to transform this problem…

Computer Vision and Pattern Recognition · Computer Science 2020-03-19 Ruifeng Shi , Deming Zhai , Xianming Liu , Junjun Jiang , Wen Gao

Plant diseases pose a significant threat to global food security, necessitating accurate and interpretable disease detection methods. This study introduces an interpretable attention-guided Convolutional Neural Network (CNN), CBAM-VGG16,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-25 Balram Singh , Ram Prakash Sharma , Somnath Dey

An accurate and timely detection of diseases and pests in rice plants can help farmers in applying timely treatment on the plants and thereby can reduce the economic losses substantially. Recent developments in deep learning based…

Computer Vision and Pattern Recognition · Computer Science 2020-04-15 Chowdhury Rafeed Rahman , Preetom Saha Arko , Mohammed Eunus Ali , Mohammad Ashik Iqbal Khan , Sajid Hasan Apon , Farzana Nowrin , Abu Wasif

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

Mango cultivation is crucial in the agricultural sector, significantly contributing to economic development and food security. However, diseases affecting mango leaves can significantly reduce both the production and overall fruit grade.…

Computer Vision and Pattern Recognition · Computer Science 2026-05-01 Ekram Alam , Jaydip Sanyal , Akhil Kumar Das , Arijit Bhattacharya , Farhana Sultana

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

Although Convolutional neural networks (CNNs) are widely used for plant disease detection, they require a large number of training samples when dealing with wide variety of heterogeneous background. In this work, a CNN based dual phase…

Computer Vision and Pattern Recognition · Computer Science 2021-05-11 Tashin Ahmed , Chowdhury Rafeed Rahman , Md. Faysal Mahmud Abid

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

Monitoring plant health is crucial for maintaining agricultural productivity and food safety. Disruptions in the plant's normal state, caused by diseases, often interfere with essential plant activities, and timely detection of these…

Computer Vision and Pattern Recognition · Computer Science 2023-05-24 Jai Vardhan , Kothapalli Sai Swetha

Deep learning, particularly Convolutional Neural Networks (CNNs), has gained significant attention for its effectiveness in computer vision, especially in agricultural tasks. Recent advancements in instance segmentation have improved image…

Computer Vision and Pattern Recognition · Computer Science 2024-06-06 Raul Steinmetz , Victor A. Kich , Henrique Krever , Joao D. Rigo Mazzarolo , Ricardo B. Grando , Vinicius Marini , Celio Trois , Ard Nieuwenhuizen

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

Plant diseases pose a serious challenge to agriculture by reducing crop yield and affecting food quality. Early detection and classification of these diseases are essential for minimising losses and improving crop management practices. This…

Computer Vision and Pattern Recognition · Computer Science 2025-05-05 Srinivas Kanakala , Sneha Ningappa

Pumpkin is a vital crop cultivated globally, and its productivity is crucial for food security, especially in developing regions. Accurate and timely detection of pumpkin leaf diseases is essential to mitigate significant losses in yield…

Image and Video Processing · Electrical Eng. & Systems 2024-10-02 Aymane Khaldi , El Mostafa Kalmoun

In nations such as Bangladesh, agriculture plays a vital role in providing livelihoods for a significant portion of the population. Identifying and classifying plant diseases early is critical to prevent their spread and minimize their…

Computer Vision and Pattern Recognition · Computer Science 2025-01-14 Samia Mehnaz , Md. Touhidul Islam

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

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
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