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Plant species identification in the wild is a difficult problem in part due to the high variability of the input data, but also because of complications induced by the long-tail effects of the datasets distribution. Inspired by the most…

Computer Vision and Pattern Recognition · Computer Science 2021-06-07 Matthew R. Keaton , Ram J. Zaveri , Meghana Kovur , Cole Henderson , Donald A. Adjeroh , Gianfranco Doretto

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

Early identification of drought stress in crops is vital for implementing effective mitigation measures and reducing yield loss. Non-invasive imaging techniques hold immense potential by capturing subtle physiological changes in plants…

Computer Vision and Pattern Recognition · Computer Science 2025-01-14 Aswini Kumar Patra , Lingaraj Sahoo

Plant disease diagnosis is essential to farmers' management choices because plant diseases frequently lower crop yield and product quality. For harvests to flourish and agricultural productivity to boost, grape leaf disease detection is…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 B. M. Shahria Alam , Md. Nasim Ahmed

The uncontrolled and unstructured growth of brain cells is known as brain tumor, which has one of the highest mortality rates among diseases from all types of cancers. Due to limited diagnostic and treatment capabilities, they pose…

Machine Learning · Computer Science 2024-04-02 PoTsang B. Huang , Muhammad Rizwan , Mehboob Ali

Heart disease, also known as cardiovascular disease, is a prevalent and critical medical condition characterized by the impairment of the heart and blood vessels, leading to various complications such as coronary artery disease, heart…

Computer Vision and Pattern Recognition · Computer Science 2023-10-20 Zeynep Hilal Kilimci , Mustafa Yalcin , Ayhan Kucukmanisa , Amit Kumar Mishra

Grapes are among the most economically and culturally significant fruits on a global scale, and table grapes and wine are produced in significant quantities in Europe and Asia. The production and quality of grapes are significantly impacted…

Computer Vision and Pattern Recognition · Computer Science 2026-02-16 Md. Ehsanul Haque , Md. Saymon Hosen Polash , Rakib Hasan Ovi , Aminul Kader Bulbul , Md Kamrul Siam , Tamim Hasan Saykat

Hierarchical latent tree analysis (HLTA) is recently proposed as a new method for topic detection. It differs fundamentally from the LDA-based methods in terms of topic definition, topic-document relationship, and learning method. It has…

Machine Learning · Computer Science 2015-08-06 Peixian Chen , Nevin L. Zhang , Leonard K. M. Poon , Zhourong Chen

Visual question answering (VQA) for crop disease analysis requires accurate visual understanding and reliable language generation. In this work, we present a lightweight and explainable vision-language framework for crop and disease…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Md. Zahid Hossain , Most. Sharmin Sultana Samu , Md. Rakibul Islam , Md. Siam Ansary

Accelerated ripening through the exposure of fruits to controlled environmental conditions and gases is nowadays one of the most assessed food technologies, especially for climacteric and exotic products. However, a fine granularity control…

Modern robotics has enabled the advancement in yield estimation for precision agriculture. However, when applied to the olive industry, the high variation of olive colors and their similarity to the background leaf canopy presents a…

Robotics · Computer Science 2023-08-17 Yianni Karabatis , Xiaomin Lin , Nitin J. Sanket , Michail G. Lagoudakis , Yiannis Aloimonos

The purpose of the Insect Detection System for Crop and Plant Health is to keep an eye out for and identify insect infestations in farming areas. By utilizing cutting-edge technology like computer vision and machine learning, the system…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Md. Mahmudul Hasan , SM Shaqib , Ms. Sharmin Akter , Rabiul Alam , Afraz Ul Haque , Shahrun akter khushbu

Currently, truss tomato weighing and packaging require significant manual work. The main obstacle to automation lies in the difficulty of developing a reliable robotic grasping system for already harvested trusses. We propose a method to…

Robotics · Computer Science 2025-02-13 Luuk van den Bent , Tomás Coleman , Robert Babuška

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

Fusarium Head Blight (FHB) is a serious fungal disease affecting wheat (including durum), barley, oats, other small cereal grains, and corn. Effective monitoring and accurate detection of FHB are crucial to ensuring stable and reliable food…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Yu-Fan Lin , Ching-Heng Cheng , Bo-Cheng Qiu , Cheng-Jun Kang , Chia-Ming Lee , Chih-Chung Hsu

With the growing demand for healthy foods, agricultural product price forecasting has become increasingly important. Hass avocados, as a high-value crop, exhibit complex price fluctuations influenced by factors such as seasonality, region,…

Machine Learning · Computer Science 2025-05-16 Linwei Zhang , LuFeng , Ruijia Liang

Coffee leaf rust, a foliar disease caused by the fungus Hemileia vastatrix, poses a major threat to coffee production, especially in Central America. Climate change further aggravates this issue, as it shortens the latency period between…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Angelly Cabrera , Kleanthis Avramidis , Shrikanth Narayanan

Effective and efficient agricultural manipulation and harvesting depend on accurately understanding the current state of the grasp. The agricultural environment presents unique challenges due to its complexity, clutter, and occlusion.…

Robotics · Computer Science 2025-08-18 Benjamin Walt , Jordan Westphal , Girish Krishnan

Tea is among the most widely consumed drinks globally. Tea production is a key industry for many countries. One of the main challenges in tea harvesting is tea leaf diseases. If the spread of tea leaf diseases is not stopped in time, it can…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Omar Faruq Shikdar , Fahad Ahammed , B. M. Shahria Alam , Golam Kibria , Tawhidur Rahman , Nishat Tasnim Niloy

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
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