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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

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

Smallholder cacao producers often rely on outdated farming techniques and face significant challenges from pests and diseases, unlike larger plantations with more resources and expertise. In the Philippines, cacao farmers have limited…

Computer Vision and Pattern Recognition · Computer Science 2026-02-03 Zaldy Pagaduan , Jason Occidental , Nathaniel Duro , Dexielito Badilles , Eleonor Palconit

Crop yield production could be enhanced for agricultural growth if various plant nutrition deficiencies, and diseases are identified and detected at early stages. The deep learning methods have proven its superior performances in the…

Computer Vision and Pattern Recognition · Computer Science 2024-10-17 Asish Bera , Debotosh Bhattacharjee , Ondrej Krejcar

Crops hold paramount significance as they serve as the primary provider of energy, nutrition, and medicinal benefits for the human population. Plant diseases, however, can negatively affect leaves during agricultural cultivation, resulting…

Image and Video Processing · Electrical Eng. & Systems 2023-11-07 Shashwat Jha , Vishvaditya Luhach , Gauri Shanker Gupta , Beependra Singh

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

Deep learning (DL) technologies can transform agriculture by improving crop health monitoring and management, thus improving food safety. In this paper, we explore the potential of edge computing for real-time classification of leaf…

Computer Vision and Pattern Recognition · Computer Science 2024-11-07 Públio Elon Correa da Silva , Jurandy Almeida

Pumpkin leaf diseases are significant threats to agricultural productivity, requiring a timely and precise diagnosis for effective management. Traditional identification methods are laborious and susceptible to human error, emphasizing the…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Md. Arafat Alam Khandaker , Ziyan Shirin Raha , Shifat Islam , Tashreef Muhammad

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

Early and precise diagnosis of diseases in plants can help to develop an early treatment technique. Plant diseases degrade both the quantity and quality of crops, thus posing a threat to food security and resulting in huge economic losses.…

Image and Video Processing · Electrical Eng. & Systems 2022-08-17 Bhavya Jain , Sasikumar Periyasamy

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

Farmers face various challenges when it comes to identifying diseases in rice leaves during their early stages of growth, which is a major reason for poor produce. Therefore, early and accurate disease identification is important in…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Pandiyaraju V , Shravan Venkatraman , Abeshek A , Pavan Kumar S , Aravintakshan S A , Senthil Kumar A M , Kannan A

Plant diseases significantly threaten global food security by reducing crop yields and undermining agricultural sustainability. AI-driven automated classification has emerged as a promising solution, with deep learning models demonstrating…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Moshiur Rahman Tonmoy , Md. Mithun Hossain , Nilanjan Dey , M. F. Mridha

In the last decades, the area under cultivation of maize products has increased because of its essential role in the food cycle for humans, livestock, and poultry. Moreover, the diseases of plants impact food safety and can significantly…

Computer Vision and Pattern Recognition · Computer Science 2022-05-10 Saeedeh Osouli , Behrouz Bolourian Haghighi , Ehsan Sadrossadat

The agricultural sector plays an essential role in the economic growth of a country. Specifically, in an Indian context, it is the critical source of livelihood for millions of people living in rural areas. Plant Disease is one of the…

Computer Vision and Pattern Recognition · Computer Science 2024-04-29 Saurav Sagar , Mohammed Javed , David S Doermann

This study uses machine vision and drone technologies to propose a unique method for the diagnosis of cucumber disease in agriculture. The backbone of this research is a painstakingly curated dataset of hyperspectral photographs acquired…

Computer Vision and Pattern Recognition · Computer Science 2024-09-20 Syada Tasfia Rahman , Nishat Vasker , Amir Khabbab Ahammed , Mahamudul Hasan

Sweet orange leaf diseases are significant to agricultural productivity. Leaf diseases impact fruit quality in the citrus industry. The apparition of machine learning makes the development of disease finder. Early detection and diagnosis…

Computer Vision and Pattern Recognition · Computer Science 2024-08-31 Yousuf Rayhan Emon , Md Golam Rabbani , Md. Taimur Ahad , Faruk Ahmed

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

The potato is a widely grown crop in many regions of the world. In recent decades, potato farming has gained incredible traction in the world. Potatoes are susceptible to several illnesses that stunt their development. This plant seems to…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Muhammad Ahtsam Naeem , Muhammad Asim Saleem , Muhammad Imran Sharif , Shahzad Akber , Sajjad Saleem , Zahid Akhtar , Kamran Siddique

Early and precise identification of plant diseases, especially in potato crops is important to ensure the health of the crops and ensure the maximum yield . Potato leaf diseases, such as Early Blight and Late Blight, pose significant…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Shakil Mia , Umme Habiba , Urmi Akter , SK Rezwana Quadir Raisa , Jeba Maliha , Md. Iqbal Hossain , Md. Shakhauat Hossan Sumon