Prediction of Sweet Corn Seed Germination Based on Hyperspectral Image Technology and Multivariate Data Regression

Cui, Huawei; Cheng, Zhishang; Li, Peng; Miao, Aimin

doi:10.3390/s20174744

Cited by 25 publications

(13 citation statements)

References 41 publications

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“…The period of membrane repairs is shorter for seeds with high moisture content than those of low moisture content [26]. The variation observed could also be due to the influence of the factors in preserving seed nutrient reserve in storage to produce vigorous seedlings on the field leading to good seed filling [27][28][29][30].…”

Section: Thousand Seed Weight (1000sw)mentioning

confidence: 99%

Interactive Effects of Moisture Content and Packaging Material on Common Bean Seed Yield and Yield Components

Adjei

Banful

Asiedu

et al. 2022

JEAI

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Common bean (Phaseolus vulgaris L.) provides nutritional, economic and health benefits. Ghana has introduced the first four commercial varieties for adoption. Maintaining seed quality in storage is challenged in the humid regions due to high temperature and high relative humidity. The study determined the interactive effects of seed moisture content (MC) and packaging material on quality of seeds stored for 8 months and subsequent seed yield and yield related components. A 2x2 factorial in Randomized Complete Block Design (RCBD) was used, replicated three times. Seeds were dried to 8 and 11% MC, kept in polythene bags and plastic containers and stored for 8 months under ambient and cold conditions. There were no significant differences (p>0.05) for plant stand at two weeks after planting, days to first and fifty percent flowering, chlorophyll content, number of pods per plant, number of seeds per pod, and seed yield. Leaf area index of plants developed from seeds dried to 8% MC and packed in polythene bags were significantly higher than the other interaction effects. The lowest plant stand was observed in plants developed from seeds dried to 11% MC and packed in plastic containers. 1000SW of seeds dried to 11% MC and packaged in plastic containers were 32.77% higher than in seeds dried to 8% MC and packaged in plastic containers. The Ennepa common bean seeds can be dried to 11% MC and packaged in polythene bags and stored for 8 months without significant seed deterioration.

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Section: Thousand Seed Weight (1000sw)mentioning

confidence: 99%

Interactive Effects of Moisture Content and Packaging Material on Common Bean Seed Yield and Yield Components

Adjei

Banful

Asiedu

et al. 2022

JEAI

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“…The emergence ability of seedlings is crucial for seed growth and crop yield improvement ( Cui et al., 2020 ). In recent studies, significant progress has been made in correlating seed germination ability and seedling growth through various measurement methods.…”

Section: Introductionmentioning

confidence: 99%

Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network

Fan,

An,

Wang

et al. 2023

Front. Plant Sci.

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The viability of Zea mays seed plays a critical role in determining the yield of corn. Therefore, developing a fast and non-destructive method is essential for rapid and large-scale seed viability detection and is of great significance for agriculture, breeding, and germplasm preservation. In this study, hyperspectral imaging (HSI) technology was used to obtain images and spectral information of maize seeds with different aging stages. To reduce data input and improve model detection speed while obtaining more stable prediction results, successive projections algorithm (SPA) was used to extract key wavelengths that characterize seed viability, then key wavelength images of maize seed were divided into small blocks with 5 pixels ×5 pixels and fed into a multi-scale 3D convolutional neural network (3DCNN) for further optimizing the discrimination possibility of single-seed viability. The final discriminant result of single-seed viability was determined by comprehensively evaluating the result of all small blocks belonging to the same seed with the voting algorithm. The results showed that the multi-scale 3DCNN model achieved an accuracy of 90.67% for the discrimination of single-seed viability on the test set. Furthermore, an effort to reduce labor and avoid the misclassification caused by human subjective factors, a YOLOv7 model and a Mask R-CNN model were constructed respectively for germination judgment and bud length detection in this study, the result showed that mean average precision (mAP) of YOLOv7 model could reach 99.7%, and the determination coefficient of Mask R-CNN model was 0.98. Overall, this study provided a feasible solution for detecting maize seed viability using HSI technology and multi-scale 3DCNN, which was crucial for large-scale screening of viable seeds. This study provided theoretical support for improving planting quality and crop yield.

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“…For example, PLSR combined with HIS could be adopted as a quick and non-destructive approach to predict the micronutrients of wheat [14]. PCR has been successfully applied to seed germination prediction of sweet corn [15]. Nevertheless, the comparison of various pre-processing approaches combined with different regression methods, including PLSR and PCR, for prediction of dietary ber content in bamboo shoots has not been well researched.…”

Section: Introductionmentioning

confidence: 99%

Predicting the dietary fiber content of fresh-cut bamboo shoots using a visible and near-infrared hyperspectral technique

Xie

Xiang

et al. 2023

Food Measure

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The dietary ber content in fresh-cut bamboo shoots is considered crucial for the quality of processed bamboo shoots products. This study aimed to explore the potential of applying two different hyperspectral techniques, namely visible near infrared (Vis-NIR) spectroscopy and near infrared (NIR) in the quick and non-destructive prediction of the dietary ber content of fresh-cut bamboo shoots. The Vis-NIR and NIR hyperspectral data were collected to establish partial least square regression (PLSR) and principal component regression (PCR) calibration model for the average spectrum of fresh-cut bamboo shoots and their corresponding dietary ber content. Subsequently, data fusion analysis, various preprocessing methods, and principal component analysis (PCA) were used to optimize the model. The results indicated that superior models were obtained based on low-level fusion data when compared with the corresponding methods based on single spectral data. The optimal SNV-PCA-PLSR model achieved a good performance with coe cient of determination of prediction (R 2 p) of 0.902, and root mean square errors of prediction (RMSEP) of 0.135. Therefore, hyperspectral technique combined with data fusion analysis can be a promising approach for non-invasive quality supervision of bamboo shoots products in varied processing states.

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Prediction of Sweet Corn Seed Germination Based on Hyperspectral Image Technology and Multivariate Data Regression

Cited by 25 publications

References 41 publications

Interactive Effects of Moisture Content and Packaging Material on Common Bean Seed Yield and Yield Components

Interactive Effects of Moisture Content and Packaging Material on Common Bean Seed Yield and Yield Components

Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network

Predicting the dietary fiber content of fresh-cut bamboo shoots using a visible and near-infrared hyperspectral technique

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