Application of image processing and soft computing strategies for non-destructive estimation of plum leaf area

A Sabouri, A Bakhshipour, MH Poornoori, A Abouzari - PLoS One, 2022 - journals.plos.org
Plant leaf area (LA) is a key metric in plant monitoring programs. Machine learning methods
were used in this study to estimate the LA of four plum genotypes, including three …

Leaf Area Prediction of Pennywort Plants Grown in a Plant Factory Using Image Processing and an Artificial Neural Network

MN Reza, M Chowdhury, S Islam, MSN Kabir, SU Park… - Horticulturae, 2023 - mdpi.com
The leaf is a primary part of a plant, and examining the leaf area is crucial in understanding
growth and plant physiology. Accurately estimating leaf area is key to this understanding …

Titanium dioxide nanoparticles study on Lactuca sativa growth with cocopeat and sponge hydroponic systems

NH Yaacub, RB SMN Mydin, NH Abu Mansor… - Applied …, 2024 - Springer
Abstract Titanium dioxide nanoparticles (TiO 2-NPs) are believed can enhance crop yield by
accelerating the photosynthetic rate, infection control management, and competent catalyst …

Genetic resistance of cultivated oat and the influence of the mineral nutrition level on stem lodging in Western Siberia

AV Lyubimova, MN Moiseeva… - BIO Web of …, 2022 - bio-conferences.org
The genetic resistance to stem lodging of cultivated oat of the Western Siberian selection
with different levels of mineral nutrition in the conditions of the Northern Trans-Urals has …