[HTML][HTML] High-throughput phenotyping of plant leaf morphological, physiological, and biochemical traits on multiple scales using optical sensing

H Zhang, L Wang, X Jin, L Bian, Y Ge - The Crop Journal, 2023 - Elsevier
Acquisition of plant phenotypic information facilitates plant breeding, sheds light on gene
action, and can be applied to optimize the quality of agricultural and forestry products …

Unlocking plant secrets: A systematic review of 3D imaging in plant phenotyping techniques

MS Akhtar, Z Zafar, R Nawaz, MM Fraz - Computers and Electronics in …, 2024 - Elsevier
Phenotyping is a systematic process of quantifying and assessing a wide range of structural
and physiological traits to understand the intricate interplay between an organism's genetic …

Plant-Denoising-Net (PDN): A plant point cloud denoising network based on density gradient field learning

J Wu, L Xiang, H You, L Tang, J Gai - ISPRS Journal of Photogrammetry …, 2024 - Elsevier
Effective point cloud denoising is critical in 3D plant phenotyping applications, which
reduces interference in subsequent algorithms and improves the accuracy of plant …

Image processing and area estimation of chia (Salvia hispanica L.), quinoa (Chenopodium quinoa Willd.), and bitter melon (Momordica charantia L.) leaves based on …

H Sabouri, SJ Sajadi - Journal of Applied Research on Medicinal and …, 2022 - Elsevier
The leaf area (LA) is essential for interception of solar radiation and is determinant factor in
plant photosynthesis and penetration of light in the canopy and the plant growth rate. In this …

Design of Device for Optical Luminescent Diagnostic of the Seeds Infected by Fusarium

MN Moskovskiy, MV Belyakov, AS Dorokhov, AA Boyko… - Agriculture, 2023 - mdpi.com
The development and application of optical luminescent methods and devices will help
obtain information quickly and objectively about the level of Fusarium infection of agricultural …

Facility of tomato plant organ segmentation and phenotypic trait extraction via deep learning

J Yao, Y Gong, Z Xia, P Nie, H Xu, H Zhang… - … and Electronics in …, 2025 - Elsevier
In facility tomato cultivation, analyzing and managing crop phenotypic traits across different
growth stages is vital for improving quality and yield. Traditional manual methods are time …

[HTML][HTML] Automatic leaf segmentation and overlapping leaf separation using stereo vision

ZM Amean, T Low, N Hancock - Array, 2021 - Elsevier
Farm management and crop quality assessment is becoming increasingly automated to
keep up with demand. The physical examination of the plant leaves, stems and fruit can …

Leaf Area Estimation by photographing leaves sandwiched between Transparent Clear file folder sheets

K Koyama - Horticulturae, 2023 - mdpi.com
Image analysis is a promising method for in situ leaf area measurement. However, as leaves
are three-dimensional, the use of two-dimensional images captured using a digital camera …

Soybean Leaf Segmentation and Area Estimation Based on Extreme Points

Z Yang, J Tong, M Feng, G Hu, J Wu… - Proceedings of the 2023 …, 2023 - dl.acm.org
Leaf area is an essential growth trait for plants throughout their lifespan. However, how to
calculate the area effectively, non-destructive, and cheaper is a complex task, which needs …

[PDF][PDF] MODELOS ALOMÉTRICOS PARA LA MEDICIÓN NO DESTRUCTIVA DEL ÁREA FOLIAR DEL FRIJOL CAUPÍ (Vigna unguiculata L. Walp.) SOMETIDO A …

AJT COLEY - repositorio.unicordoba.edu.co
El frijol caupí (Vigna unguiculata L. Walp) se cultiva en todo el mundo, principalmente en
zonas tropicales. Se cultiva en rangos de temperatura de 25 a 35 C y precipitaciones …