Visualization of a Lifeboat Motion During Lowering Along Ship’s Side

Kniat, Aleksander

doi:10.1515/pomr-2017-0134

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…It is not scientific to achieve the accurate recognition of all kinds of diseases only by human visual observation and experience (Gao et al, 2017;Fu and Liu, 2017). The symptoms of common crop diseases are mainly expressed by the color and texture of leaves (Mo et al, 2018;Kniat, 2017;Sanchez et al, 2017). At present, the treatment of agricultural diseases is mainly through expert diagnosis, and then taking corresponding measures (Wei, 2017).…”

Section: Introductionmentioning

confidence: 99%

Super-Resolution Reconstruction of Crop Disease Images Based on Depth Learning

Wang¹

2019

Appl. Ecol. Env. Res.

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Current image reconstruction has some problems, such as low image segmentation and denoising precision, slow convergence speed, and poor image integrity after reconstruction. In this regard, this study proposed a super-resolution reconstruction of crop disease images based on deep learning. The improved neighborhood averaging method is used to denoise the low frequency subband image, and the enhanced wavelet coefficients are replaced by the wavelet inverse transform to realize the high frequency subband image denoising. The image enhancement results are introduced, and the image initial segmentation area is obtained by using the color roughness concept and the incremental region growth method. When the stop condition is satisfied, the best result is presented. The small feature extraction of image segmentation results is carried out, and the feature vectors are transformed from low resolution space to high resolution space by nonlinear mapping. Feature extraction, nonlinear mapping and image reconstruction are fused into a deep convolution neural network, and the final reconstruction results are obtained. The experiment showed that the method improves the image segmentation and denoising precision, and that the integrity coefficient of the image reconstruction is high and the reliability is strong.

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Section: Introductionmentioning

confidence: 99%

Super-Resolution Reconstruction of Crop Disease Images Based on Depth Learning

Wang¹

2019

Appl. Ecol. Env. Res.

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“…The content of nutrients varies with the type of soil and plant species, and it is affected by external environmental factors to a certain extent. The content of nutrients in soil and its effectiveness are important chemical indicators in the ecosystem, affecting the growth and development of the plant (Kniat, 2017;Camara et al, 2018). Trace elements are key components of various enzymes, growth hormones and vitamins in plants and play an important role in plant growth and development as well.…”

Section: Introductionmentioning

confidence: 99%

Brackish water irrigation on the characteristics of carbon, nitrogen and phosphorus nutrients in the soil nearby crop roots

2018

Emir J Food Agric

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To study the effect of brackish water on carbon, nitrogen and phosphorus in the soil nearby root zone of crops. By analyzing the influence of different levels of salt and fresh water combination irrigation on organic carbon, nitrogen and phosphorus migration rule in the soil, and the dynamic change rule in different sections to investigate the spatial distribution of each index at the end of the experiment. According to the soil properties and root distribution of Zizyphusjujuba, brackish water drip irrigation quota, irrigation water salinity and fertilization measures of root zone, different gradient levels of combined irrigation experiments were set up. The experiment with fresh water was used as control to establish orthogonal test scheme. The content of carbon, nitrogen and phosphorus in soil nearby crop roots was measured, and the measurement of carbon, nitrogen and phosphorus in the soil nearby crop roots was utilized to analyze the effect of brackish water irrigation on the soil nearby crop roots. With the increase of brackish water amount for irrigation, nitrate and alkali nitrogen content in the soil nearby roots was significantly decreased, and the reduction trend is going up after a significant amount of brackish water for irrigation is added. While phosphorus content decreased at different levels after brackish water amount for irrigation was increased, but the decrease is not significant. Brackish water irrigation with appropriate amount of salt can improve the effective utilization rate of carbon and nitrogen and phosphorus in soil, and result in higher yield for crops. The fruit set is the highest under brackish water irrigation with 3 g/L salt.

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