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Computer vision for plant disease recognition: a comprehensive review
Agriculture has undergone a remarkable transformation, transitioning from traditional
methods that were used for centuries to technology-driven practices. The advent of image …
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 …
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
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 …
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
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 …
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
Accurate color representation in UAV-based imagery is critical in high-throughput plant
phenoty** and precision agriculture for monitoring crop health and identifying nutrient …
phenoty** and precision agriculture for monitoring crop health and identifying nutrient …
[HTML][HTML] Innovative cucumber phenoty**: A smartphone-based and data-labeling-free model
Sustaining global food security amid a growing world population demands advanced
breeding methods. Phenoty**, which observes and measures physical traits, is a vital …
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 …
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 …
compounds such as glucosinolates, phenolic acids, and polysaccharides, which contribute …
Wheat diseases recognition using optimal features assisted modified soft attention network
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 …
many wheat crops are susceptible to spoilage caused by diverse disease types. Thus, the …