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This paper presents a novel method to grade the date fruits based on the combination of shape and texture features. The method begins with reducing the specular reflection and small noise using a bilateral filter. Threshold based…

Computer Vision and Pattern Recognition · Computer Science 2015-01-07 S. H. Mohana , C. J. Prabhakar

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

Pests and diseases pose a key challenge to passion fruit farmers across Uganda and East Africa in general. They lead to loss of investment as yields reduce and losses increases. As the majority of the farmers, including passion fruit…

Computer Vision and Pattern Recognition · Computer Science 2020-07-30 Andrew Katumba , Moses Bomera , Cosmas Mwikirize , Gorret Namulondo , Mary Gorret Ajero , Idd Ramathani , Olivia Nakayima , Grace Nakabonge , Dorothy Okello , Jonathan Serugunda

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

The tomato is one of the most important fruits on earth. It plays an important and useful role in the agricultural production of any country. This research propose a novel smart technique for early detection of late blight diseases in…

Computer Vision and Pattern Recognition · Computer Science 2024-07-25 Yousef Alhwaiti , Muhammad Ishaq , Muhammad Hameed Siddiqi , Muhammad Waqas , Madallah Alruwaili , Saad Alanazi , Asfandyar Khan , Faheem Khan

Leaf disease is a common fatal disease for plants. Early diagnosis and detection is necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting leaf disease, several automated systems have already been…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Sumaya Mustofa , Md Mehedi Hasan Munna , Yousuf Rayhan Emon , Golam Rabbany , Md Taimur Ahad

Wheat is an important source of dietary fiber and protein that is negatively impacted by a number of risks to its growth. The difficulty of identifying and classifying wheat diseases is discussed with an emphasis on wheat loose smut, leaf…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Sajjad Saleem , Adil Hussain , Nabila Majeed , Zahid Akhtar , Kamran Siddique

Maturity estimation of fruits and vegetables is a critical task for agricultural automation, directly impacting yield prediction and robotic harvesting. Current deep learning approaches predominantly treat maturity as a discrete…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Sidharth Rai , Rahul Harsha Cheppally , Benjamin Vail , Keziban Yalçın Dokumacı , Ajay Sharda

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

=One of the most frequently farmed crops is the tomato crop. Late blight is the most prevalent tomato disease in the world, and often causes a significant reduction in the production of tomato crops. The importance of tomatoes as an…

Computer Vision and Pattern Recognition · Computer Science 2023-06-12 Muhammad Shoaib Farooq , Tabir Arif , Shamyla Riaz

Plant diseases significantly impact our food supply, causing problems for farmers, economies reliant on agriculture, and global food security. Accurate and timely plant disease diagnosis is crucial for effective treatment and minimizing…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Bimarsha Khanal , Paras Poudel , Anish Chapagai , Bijan Regmi , Sitaram Pokhrel , Salik Ram Khanal

One of the important and tedious task in agricultural practices is the detection of the disease on crops. It requires huge time as well as skilled labor. This paper proposes a smart and efficient technique for detection of crop disease…

Computer Vision and Pattern Recognition · Computer Science 2021-11-23 Pranesh Kulkarni , Atharva Karwande , Tejas Kolhe , Soham Kamble , Akshay Joshi , Medha Wyawahare

Fruit recognition using Deep Convolutional Neural Network (CNN) is one of the most promising applications in computer vision. In recent times, deep learning based classifications are making it possible to recognize fruits from images.…

Computer Vision and Pattern Recognition · Computer Science 2020-01-28 Shadman Sakib , Zahidun Ashrafi , Md. Abu Bakr Siddique

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

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

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

The growing demand for sustainable development brings a series of information technologies to help agriculture production. Especially, the emergence of machine learning applications, a branch of artificial intelligence, has shown multiple…

Computer Vision and Pattern Recognition · Computer Science 2023-10-20 Jianping Yao , Son N. Tran , Samantha Sawyer , Saurabh Garg

Potato plants are plants that are beneficial to humans. Like other plants in general, potato plants also have diseases; if this disease is not treated immediately, there will be a significant decrease in food production. Therefore, it is…

Computer Vision and Pattern Recognition · Computer Science 2024-02-07 Rifqi Alfinnur Charisma , Faisal Dharma Adhinata

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

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