Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[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 …
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
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 …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
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 …
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 …
to evaluate the oxygen of water and help control the water pollution. Multi-spectral imaging …