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Cassava is the third largest source of carbohydrates for human food in the world but is vulnerable to virus diseases, which threaten to destabilize food security in sub-Saharan Africa. Novel methods of cassava disease detection are needed…

Computer Vision and Pattern Recognition · Computer Science 2017-11-07 Amanda Ramcharan , Kelsee Baranowski , Peter McCloskey , Babuali Ahmed , James Legg , David Hughes

The detection of diseases within plants has attracted a lot of attention from computer vision enthusiasts. Despite the progress made to detect diseases in many plants, there remains a research gap to train image classifiers to detect the…

Computer Vision and Pattern Recognition · Computer Science 2024-05-09 Atuhurra Jesse , N'guessan Yves-Roland Douha , Pabitra Lenka

Convolutional neural network models (CNNs) have made major advances in computer vision tasks in the last five years. Given the challenge in collecting real world datasets, most studies report performance metrics based on available research…

Computer Vision and Pattern Recognition · Computer Science 2018-05-23 Amanda Ramcharan , Peter McCloskey , Kelsee Baranowski , Neema Mbilinyi , Latifa Mrisho , Mathias Ndalahwa , James Legg , David Hughes

Human society needs to increase food production by an estimated 70% by 2050 to feed an expected population size that is predicted to be over 9 billion people. Currently, infectious diseases reduce the potential yield by an average of 40%…

Computers and Society · Computer Science 2016-04-13 David. P. Hughes , Marcel Salathe

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

Detection, segmentation and tracking of fruits and vegetables are three fundamental tasks for precision agriculture, enabling robotic harvesting and yield estimation applications. However, modern algorithms are data hungry and it is not…

Computer Vision and Pattern Recognition · Computer Science 2023-01-30 Thomas A. Ciarfuglia , Ionut M. Motoi , Leonardo Saraceni , Mulham Fawakherji , Alberto Sanfeliu , Daniele Nardi

Accurate crop type maps provide critical information for ensuring food security, yet there has been limited research on crop type classification for smallholder agriculture, particularly in sub-Saharan Africa where risk of food insecurity…

Computer Vision and Pattern Recognition · Computer Science 2020-04-08 Hannah Kerner , Catherine Nakalembe , Inbal Becker-Reshef

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

In most developing countries, a huge proportion of the national food basket is supported by small subsistence agricultural systems. A major challenge to these systems is disease and pest attacks which have a devastating effect on the…

Computers and Society · Computer Science 2019-08-13 Daniel Mutembesa , Christopher Omongo , Ernest Mwebaze

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

The number of people living in this agricultural nation of ours, which is surrounded by lush greenery, is growing on a daily basis. As a result of this, the level of arable land is decreasing, as well as residential houses and industrial…

Computer Vision and Pattern Recognition · Computer Science 2025-01-17 Sadia Afrin Rimi , Md. Jalal Uddin Chowdhury , Rifat Abdullah , Iftekhar Ahmed , Mahrima Akter Mim , Mohammad Shoaib Rahman

Rice is the number one staple food in the country, as this serves as the primary livelihood for thousands of Filipino households. However, as the tradition continues, farmers are not familiar with the different types of rice leaf diseases…

Computer Vision and Pattern Recognition · Computer Science 2023-01-16 Harold Costales , Arpee Callejo-Arruejo , Noel Rafanan

Food classification is a challenging problem due to the large number of categories, high visual similarity between different foods, as well as the lack of datasets for training state-of-the-art deep models. Solving this problem will require…

Computer Vision and Pattern Recognition · Computer Science 2019-07-16 Parneet Kaur , Karan Sikka , Weijun Wang , Serge Belongie , Ajay Divakaran

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

Rice is considered a strategic crop in Egypt as it is regularly consumed in the Egyptian people's diet. Even though Egypt is the highest rice producer in Africa with a share of 6 million tons per year, it still imports rice to satisfy its…

Computer Vision and Pattern Recognition · Computer Science 2023-09-13 Yara Ali Alnaggar , Ahmad Sebaq , Karim Amer , ElSayed Naeem , Mohamed Elhelw

Soybean and cotton are major drivers of many countries' agricultural sectors, offering substantial economic returns but also facing persistent challenges from volunteer plants and weeds that hamper sustainable management. Effectively…

Computer Vision and Pattern Recognition · Computer Science 2026-04-22 Thiago H. Segreto , Juliano Negri , Paulo H. Polegato , João Manoel Herrera Pinheiro , Ricardo V. Godoy , Marcelo Becker

Weeds are one of the major reasons for crop yield loss but current weeding practices fail to manage weeds in an efficient and targeted manner. Effective weed management is especially important for crops with high worldwide production such…

Computer Vision and Pattern Recognition · Computer Science 2025-02-19 Ekin Celikkan , Timo Kunzmann , Yertay Yeskaliyev , Sibylle Itzerott , Nadja Klein , Martin Herold

Cassava a major food crop in many parts of Africa, has majorly been affected by Cassava Brown Streak Disease (CBSD). The disease affects tuberous roots and presents symptoms that include a yellow/brown, dry, corky necrosis within the…

Image and Video Processing · Electrical Eng. & Systems 2020-05-17 Jeremy Francis Tusubira , Benjamin Akera , Solomon Nsumba , Joyce Nakatumba-Nabende , Ernest Mwebaze

As the world population increases and arable land decreases, it becomes vital to improve the productivity of the agricultural land available. Given the weather and soil properties, farmers need to take critical decisions such as which seed…

Computer Vision and Pattern Recognition · Computer Science 2017-10-26 Gunjan Sehgal , Bindu Gupta , Kaushal Paneri , Karamjit Singh , Geetika Sharma , Gautam Shroff

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
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