Performance comparison of RGB and multispectral vegetation indices based on machine learning for estimating Hopea hainanensis SPAD values under different …

Y Yuan, X Wang, M Shi, P Wang - Frontiers in Plant Science, 2022 - frontiersin.org
Reasonable cultivation is an important part of the protection work of endangered species.
The timely and nondestructive monitoring of chlorophyll can provide a basis for the accurate …

Smartphone-based detection of leaf color levels in rice plants

M Tao, X Ma, X Huang, C Liu, R Deng, K Liang… - … and electronics in …, 2020 - Elsevier
Leaf color is correlated with nitrogen content, and detection of nitrogen content in rice leaves
is important for guiding farmers in applying fertilizer. However, the performance of existing …

A novel method for seed cotton color measurement based on machine vision technology

H Li, R Zhang, W Zhou, X Liu, K Wang, M Zhang… - … and Electronics in …, 2023 - Elsevier
Color of seed cotton is one of the key indexes of seed cotton quality, which greatly affects the
price, grading, storage, and processing of seed cotton. Currently, there are shortage of …

Study on the nitrogen content estimation model of cotton leaves based on “image-spectrum-fluorescence” data fusion

S Qin, Y Ding, Z Zhou, M Zhou, H Wang, F Xu… - Frontiers in Plant …, 2023 - frontiersin.org
Objective Precise monitoring of cotton leaves' nitrogen content is important for increasing
yield and reducing fertilizer application. Spectra and images are used to monitor crop …

Predicting the oil content of individual corn kernels combining NIR-HSI and multi-stage parameter optimization techniques

A Song, C Wang, W Wen, Y Zhao, X Guo, C Zhao - Food Chemistry, 2024 - Elsevier
Predicting the oil content of individual corn kernels using hyperspectral imaging and ML
offers the advantages of being rapid and non-destructive. However, traditional methods rely …

Estimation of chlorophyll distribution in banana canopy based on RGB-NIR image correction for uneven illumination

L An, W Tang, L Qiao, R Zhao, H Sun, M Li… - … and Electronics in …, 2022 - Elsevier
Chlorophyll generally measured by Soil and Plant Analysis Development (SPAD) meter is
an important indicator for the evaluation of plant photosynthesis ability and growth status. In …

Potato late blight severity and epidemic period prediction based on vis/nir spectroscopy

B Hou, Y Hu, P Zhang, L Hou - Agriculture, 2022 - mdpi.com
Late blight caused by Phytophthora infestans is a destructive disease in potato production,
which can lead to crop failure in severe cases. This study combined visible/near-infrared …

[PDF][PDF] Intelligent image analysis for retrieval of leaf chlorophyll content of rice from digital images of smartphone under natural light.

PJ Mohan, SD Gupta - Photosynthetica, 2019 - researchgate.net
The present study describes a new imaging method to acquire rice leaf images under field
conditions using a smartphone and modeling approaches to retrieve the leaf chlorophyll …

Intelligent green tea fixation with sensor fusion technology

F Song, J Wu, B Liu, J Jiang, Z Li, C Song, J Li… - Journal of Food …, 2022 - Elsevier
Fixing, shaping, and drying are three major processing procedures after green tea's harvest.
Among them, fixing is the first and key step for the formation of green tea's specific …

Non-destructive and contactless estimation of chlorophyll and ammonia contents in packaged fresh-cut rocket leaves by a Computer Vision System

M Palumbo, B Pace, M Cefola, FF Montesano… - Postharvest Biology and …, 2022 - Elsevier
Abstract Computer Vision Systems (CVS) offer a non-destructive and contactless tool to
assign visual quality level to fruit and vegetables and to estimate some of their internal …