Climatic changes and potatoes: How can we cope with the abiotic stresses?

T Handayani, SA Gilani, KN Watanabe - Breeding science, 2019 - jstage.jst.go.jp
Climate change triggers increases in temperature, drought, and/or salinity that threaten
potato production, because they necessitate specific amounts and quality of water …

[HTML][HTML] High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion

H Zhang, Y Ge, X Xie, A Atefi, NK Wijewardane… - Plant Methods, 2022 - Springer
Background Leaf chlorophyll content plays an important role in indicating plant stresses and
nutrient status. Traditional approaches for the quantification of chlorophyll content mainly …

[HTML][HTML] A review of remote sensing for potato traits characterization in precision agriculture

C Sun, J Zhou, Y Ma, Y Xu, B Pan… - Frontiers in Plant Science, 2022 - frontiersin.org
Potato is one of the most significant food crops globally due to its essential role in the human
diet. The growing demand for potato, coupled with severe environmental losses caused by …

Development of an android app to estimate chlorophyll content of corn leaves based on contact imaging

F Vesali, M Omid, A Kaleita, H Mobli - Computers and Electronics in …, 2015 - Elsevier
In this study a new android app for smartphones to estimate chlorophyll content of a corn
leaf is presented. Contact imaging was used for image acquisition from the corn leaves …

Detection and classification of groundnut leaf nutrient level extraction in RGB images

M Janani, R Jebakumar - Advances in Engineering Software, 2023 - Elsevier
In agriculture, identifying the deficient or excess nutrients in the leaf is a significant concern
for attaining the higher yield and productivity of any crop. Several image processing …

Machine learning-based prediction of nutritional status in oil palm leaves using proximal multispectral images

T Chungcharoen, I Donis-Gonzalez, K Phetpan… - … and Electronics in …, 2022 - Elsevier
This study evaluated the application of proximal multispectral images accompanied by 4
machine learning approaches for estimating the nutritional status of oil palm leaves. The …

Assessment of spinach seedling health status and chlorophyll content by multivariate data analysis and multiple linear regression of leaf image features

A Agarwal, SD Gupta - Computers and Electronics in Agriculture, 2018 - Elsevier
Plant health and physiological status significantly influence chlorophyll content and
photosynthetic capacity. Analysis of leaf reflectance information from digitized leaf images …

An analysis of leaf chlorophyll measurement method using chlorophyll meter and image processing technique

AK Dey, M Sharma, MR Meshram - Procedia computer science, 2016 - Elsevier
A regular and periodic monitoring of crop health is essential in any cultivation. An important
parameter which act as indices of crop health is the leaf chlorophyll measurement. In the …

A novel method for the estimation of soybean chlorophyll content using a smartphone and image analysis

JPG Rigon, S Capuani, DM Fernandes, TM Guimarães - Photosynthetica, 2016 - Springer
The development of smartphones, specifically their cameras, and imaging technologies has
enabled their use as sensors/measurement tools. Here we aimed to evaluate the …

[HTML][HTML] Machine vision based evaluation of impact of light emitting diodes (LEDs) on shoot regeneration and the effect of spectral quality on phenolic content and …

SD Gupta, A Karmakar - Journal of Photochemistry and Photobiology B …, 2017 - Elsevier
The present study demonstrates the influence of LED irradiance of various wavelengths on
shoot regeneration, biomass accumulation, photosynthetic pigment contents, and …