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Fast, accurate and affordable rice disease detection method is required to assist rice farmers tackling equipment and expertise shortages problems. In this paper, we focused on the solution using computer vision technique to detect rice…

Computer Vision and Pattern Recognition · Computer Science 2022-06-16 Kantip Kiratiratanapruk , Pitchayagan Temniranrat , Wasin Sinthupinyo , Sanparith Marukatat , Sujin Patarapuwadol

Fish diseases in aquaculture constitute a significant hazard to nutriment security. Identification of infected fishes in aquaculture remains challenging to find out at the early stage due to the dearth of necessary infrastructure. The…

Computer Vision and Pattern Recognition · Computer Science 2021-05-11 Md Shoaib Ahmed , Tanjim Taharat Aurpa , Md. Abul Kalam Azad

This study, our main topic is to devlop a new deep-learning approachs for plant leaf disease identification and detection using leaf image datasets. We also discussed the challenges facing current methods of leaf disease detection and how…

Machine Learning · Computer Science 2025-01-03 El Houcine El Fatimi

There is a warning light for the loss of plant habitats worldwide that entails concerted efforts to conserve plant biodiversity. Thus, plant species classification is of crucial importance to address this environmental challenge. In recent…

Computer Vision and Pattern Recognition · Computer Science 2021-09-03 Boi M. Quach , Dinh V. Cuong , Nhung Pham , Dang Huynh , Binh T. Nguyen

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

This study addresses the escalating threat of branched broomrape (Phelipanche ramosa) to California's tomato industry, which supplies over 90 percent of U.S. processing tomatoes. The parasite's largely underground life cycle makes early…

Image and Video Processing · Electrical Eng. & Systems 2025-09-15 Mohammadreza Narimani , Alireza Pourreza , Ali Moghimi , Mohsen Mesgaran , Parastoo Farajpoor , Hamid Jafarbiglu

Plants are fundamentally important to life. Key research areas in plant science include plant species identification, weed classification using hyper spectral images, monitoring plant health and tracing leaf growth, and the semantic…

Computer Vision and Pattern Recognition · Computer Science 2020-09-15 K. K. Thyagharajan , I. Kiruba Raji

Citrus greening, or Huanglongbing (HLB), is a serious disease affecting citrus crops, with no known cure. Early detection is essential, but current methods are often expensive. To address this, a low-cost, portable sensor was developed to…

Other Quantitative Biology · Quantitative Biology 2025-09-04 Ramji Gupta , Ashis Kumar Das , Sushmita Mena , Saurav Bharadwaj

Accurate and timely identification of plant leaf diseases is essential for resilient and sustainable agriculture, yet most deep learning approaches rely on large annotated datasets and computationally intensive models that are unsuitable…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Anika Islam , Tasfia Tahsin , Zaarin Anjum , Md. Bakhtiar Hasan , Md. Hasanul Kabir

With rising demands for efficient disease and salinity management in agriculture, early detection of plant stressors is crucial, particularly for high-value crops like avocados. This paper presents a comprehensive evaluation of low-cost…

Systems and Control · Electrical Eng. & Systems 2025-08-20 Abdulrahman Bukhari , Bullo Mamo , Mst Shamima Hossain , Ziliang Zhang , Mohsen Karimi , Daniel Enright , Patricia Manosalva , Hyoseung Kim

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

India loses 35% of the annual crop yield due to plant diseases. Early detection of plant diseases remains difficult due to the lack of lab infrastructure and expertise. In this paper, we explore the possibility of computer vision approaches…

Computer Vision and Pattern Recognition · Computer Science 2019-11-26 Davinder Singh , Naman Jain , Pranjali Jain , Pratik Kayal , Sudhakar Kumawat , Nipun Batra

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.…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Muhammad Kaleem Ullah Khan

Lesion detection on plant leaves is a critical task in plant pathology and agricultural research. Identifying lesions enables assessing the severity of plant diseases and making informed decisions regarding disease control measures and…

Computer Vision and Pattern Recognition · Computer Science 2023-06-26 Enes Sadi Uysal , Deniz Sen , Ahmet Haydar Ornek , Ahmet Emin Yetkin

The Instance Segmentation task, an extension of the well-known Object Detection task, is of great help in many areas, such as precision agriculture: being able to automatically identify plant organs and the possible diseases associated with…

Computer Vision and Pattern Recognition · Computer Science 2022-06-22 Leonardo Rossi , Marco Valenti , Sara Elisabetta Legler , Andrea Prati

Ensuring food safety is critical due to its profound impact on public health, economic stability, and global supply chains. Cultivation of Mango, a major agricultural product in several South Asian countries, faces high financial losses due…

Computer Vision and Pattern Recognition · Computer Science 2025-06-02 Rafi Hassan Chowdhury , Sabbir Ahmed

In the Agriculture sector, control of plant leaf diseases is crucial as it influences the quality and production of plant species with an impact on the economy of any country. Therefore, automated identification and classification of plant…

Computer Vision and Pattern Recognition · Computer Science 2021-01-27 Asim Khan , Umair Nawaz , Anwaar Ulhaq , Randall W. Robinson

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

Many plants become limp or droop through heat, loss of water, or disease. This is also known as wilting. In this paper, we examine plant wilting caused by bacterial infection. In particular, we want to design a metric for wilting based on…

Computer Vision and Pattern Recognition · Computer Science 2021-05-28 Changye Yang , Sriram Baireddy , Enyu Cai , Valerian Meline , Denise Caldwell , Anjali S. Iyer-Pascuzzi , Edward J. Delp

Potato late blight, caused by the oomycete pathogen Phytophthora infestans, is one of the most devastating diseases affecting potato crops in the history. Although conventional detection methods of plant diseases such as PCR and LAMP are…

Quantitative Methods · Quantitative Biology 2025-06-23 Jiangnan Zhao , Hanbo Xu , Cifu Xu , Wenlong Yin , Laixin Luo , Gang Liu , Yan Wang