[HTML][HTML] Recent Trends and Advances in Utilizing Digital Image Processing for Crop Nitrogen Management

B Konara, M Krishnapillai, L Galagedara - Remote Sensing, 2024 - mdpi.com
Crop nitrogen (N) management in agricultural fields is crucial in preventing various
environmental and socio-economic issues arising from excess N use. However, precise crop …

Predicting the ripening time of 'Hass' and 'Shepard'avocado fruit by hyperspectral imaging

Y Han, SH Bai, SJ Trueman, K Khoshelham… - Precision …, 2023 - Springer
Predicting the ripening time of avocado fruit accurately could improve fruit storage and
decrease food waste. No reasonable method exists for predicting the postharvest ripening …

Rapid determination of the main components of corn based on near-infrared spectroscopy and a BiPLS-PCA-ELM model

L Xu, J Liu, C Wang, Z Li, D Zhang - Applied optics, 2023 - opg.optica.org
To evaluate corn quality quickly, the feasibility of near-infrared spectroscopy (NIRS) coupled
with chemometrics was analyzed to detect the moisture, oil, protein, and starch content in …

Research on predicting photosynthetic pigments in tomato seedling leaves based on near-infrared hyperspectral imaging and machine learning

B Huang, S Li, T Long, S Bai, J Zhao, H Xu, Y Lan… - Microchemical …, 2024 - Elsevier
Conventional chemical approaches could be limited in monitoring the concentration of
pigments in plants in high volumes. To overcome these limitations, researchers often turn to …

Rapid and non-destructive detection of hard to cook chickpeas using NIR hyperspectral imaging and machine learning

D Saha, T Senthilkumar, CB Singh, P Pauls… - Food and Bioproducts …, 2023 - Elsevier
Abstract Identification of Hard to Cook (HTC) chickpeas in a rapid, non-destructive manner is
crucial for the pulse processing industry. This study investigated the potential of near …

[HTML][HTML] Potential application of hyperspectral imaging and FT-NIR spectroscopy for discrimination of soilless tomato according to growing techniques, water use …

H Fazayeli, ML Amodio, D Fatchurrahman, F Serio… - Scientia …, 2024 - Elsevier
Background This study aimed to test the potential of nondestructive optical techniques for
classifying sustainable-produced tomatoes according to a) growing practices; b) levels of …

A Multi-Target Regression Method to Predict Element Concentrations in Tomato Leaves Using Hyperspectral Imaging

AA Ariza, N Sotta, T Fujiwara, W Guo, T Kamiya - Plant Phenomics, 2024 - spj.science.org
Recent years have seen the development of novel, rapid, and inexpensive techniques for
collecting plant data to monitor the nutritional status of crops. These techniques include …

One-dimensional convolutional neural networks for hyperspectral analysis of nitrogen in plant leaves

R Pourdarbani, S Sabzi, MH Rohban… - Applied Sciences, 2021 - mdpi.com
Featured Application The proposed methodology is able to estimate the amount of nitrogen
in plant leaves, using spectral information in the visible (Vis) and near infrared (NIR) ranges …

[HTML][HTML] Unmanned-Aerial-Vehicle-Based Multispectral Monitoring of Nitrogen Content in Canopy Leaves of Processed Tomatoes

H Zhang, L Zhang, H Wu, D Wang, X Ma, Y Shao… - Agriculture, 2025 - mdpi.com
Nitrogen serves as a critical nutrient influencing the yield and quality of processed tomatoes;
however, traditional methods for assessing its levels are both labor-intensive and costly …

Permanganate index detection using multi-spectral images combined with BP neural network algorithm

T Mao, C Jiang, H Bian, X Meng, C Jiang, Y Cai - Optik, 2022 - Elsevier
Permanganate index as one of the most important water quality parameters is usually used
to evaluate the oxygen of water and help control the water pollution. Multi-spectral imaging …