Computer vision for plant disease recognition: a comprehensive review

M Dang, H Wang, Y Li, TH Nguyen, L Tightiz… - The Botanical …, 2024 - Springer
Agriculture has undergone a remarkable transformation, transitioning from traditional
methods that were used for centuries to technology-driven practices. The advent of image …

[HTML][HTML] New trends and challenges in precision and digital agriculture

G Niedbała, M Piekutowska, P Hara - Agronomy, 2023 - mdpi.com
Real change is needed in the agricultural sector to meet the challenges of the 21st century
in terms of humanity's food needs. Activities related to the modernization of agricultural …

Adapting the segment anything model for plant recognition and automated phenotypic parameter measurement

W Zhang, LM Dang, LQ Nguyen, N Alam, ND Bui… - Horticulturae, 2024 - mdpi.com
Traditional phenoty** relies on experts visually examining plants for physical traits like
size, color, or disease presence. Measurements are taken manually using rulers, scales, or …

[HTML][HTML] Vpbr: An automatic and low-cost vision-based biophysical properties recognition pipeline for pumpkin

LM Dang, M Nadeem, TN Nguyen, HY Park, ON Lee… - Plants, 2023 - mdpi.com
Pumpkins are a nutritious and globally enjoyed fruit for their rich and earthy flavor. The
biophysical properties of pumpkins play an important role in determining their yield …

Dual-stage color calibration of UAV imagery using multivariate regression and deep learning

A Abdalla, R Karn, O Adedeji, W Guo - Computers and Electronics in …, 2024 - Elsevier
Accurate color representation in UAV-based imagery is critical in high-throughput plant
phenoty** and precision agriculture for monitoring crop health and identifying nutrient …

[HTML][HTML] Innovative cucumber phenoty**: A smartphone-based and data-labeling-free model

LQ Nguyen, J Shin, S Ryu, LM Dang, HY Park, ON Lee… - Electronics, 2023 - mdpi.com
Sustaining global food security amid a growing world population demands advanced
breeding methods. Phenoty**, which observes and measures physical traits, is a vital …

Deep learning based radish and leaf segmentation for phenotype trait measurement

N Alam, ASMS Sagar, LM Dang, W Zhang… - Signal, Image and Video …, 2025 - Springer
The quantification of crop phenoty** traits is essential to understand growth patterns and
increase production. Traditional methods of monitoring such properties, particularly in white …

Seasonal variation in bioactive compounds and anti-adipogenic effects of radish greens in 3T3-L1 adipocytes

S Yim, SU Jeong, JH Yoon, HB Lee, HY Park… - Molecular & Cellular …, 2025 - Springer
Background Radish greens, the leafy by-product of radish cultivation, are rich in bioactive
compounds such as glucosinolates, phenolic acids, and polysaccharides, which contribute …

Wheat diseases recognition using optimal features assisted modified soft attention network

M Nadeem, A Khan, JW Kim, LM Dang… - … on Information and …, 2023 - ieeexplore.ieee.org
Wheat ranks as the third most extensively cultivated and consumed crop globally. However,
many wheat crops are susceptible to spoilage caused by diverse disease types. Thus, the …