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| 1 | Prediction of dissolved oxygen in a fishery pond based on gated recurrent unit (GRU)显示文摘Dissolved oxygen(DO),an important water quality indicator in aquaculture,affects the survival rate of aquatic creatures and the yield of aquatic production.Therefore,it is important to predict DO in fishery ponds for applying artificial aeration with low energy and cost.Recently,deep learning models,such as recurrent neural network(RNN),long short-term memory(LSTM),and gated recurrent unit(GRU),are often used to predict the trend of time series,but it is unclear which one of them is more suitable for prediction of DO in fishery ponds.In this work,the RNN model,LSTM model,and GRU model were used to build three DO predicting models.The performance of the three models were compared by mean absolute error(MAE),mean square error(MSE),mean absolute percentage error(MAPE),and the coefficient of determination(R2).The performance of RNN is worse result than LSTM and GRU.The four evaluation indicators of GRU are 0.450 mg/L,0.411,0.054,and 0.994,and the four indicators of LSTM are 0.407 mg/L,0.294,0.059,and 0.970,which shows that the performance of GRU is similar to LSTM,but the time cost and number of parameters used for GRU is much lower than LSTM.It is concluded that the GRU has overall better performance and can be applied to practical applications. | Wuyan Li Hao Wu Nanyang Zhu Yongnian Jiang Jinglu Tan Ya Guo | 2021 | Information Processing in Agriculture2021，8，1： | 4 |
| 2 | Deep learning for smart agriculture:Concepts,tools,applications,and opportunities显示文摘In recent years,Deep Learning(DL),such as the algorithms of Convolutional Neural Networks(CNN),Recurrent Neural Networks(RNN)and Generative Adversarial Networks(GAN),has been widely studied and applied in various fields including agriculture.Researchers in the fields of agriculture often use software frameworks without sufficiently examining the ideas and mechanisms of a technique.This article provides a concise summary of major DL algorithms,including concepts,limitations,implementation,training processes,and example codes,to help researchers in agriculture to gain a holistic picture of major DL techniques quickly.Research on DL applications in agriculture is summarized and analyzed,and future opportunities are discussed in this paper,which is expected to help researchers in agriculture to better understand DL algorithms and learn major DL techniques quickly,and further to facilitate data analysis,enhance related research in agriculture,and thus promote DL applications effectively. | Nanyang Zhu Xu Liu Ziqian Liu Kai Hu Yingkuan Wang Jinglu Tan Min Huang Qibing Zhu Xunsheng Ji Yongnian Jiang Ya Guo | 2018 | International Journal of Agricultural and Biological Engineering2018，11，4： | 3 |
| 3 | Meat quality evaluation by computer vision显示文摘 | TAN Jinglu | 2004 | Journal of Food Engineering2004，61，1： | 1 |
| 4 | Automated fetal head detection and measurement in ultrasound images by iterative randomized Hough transform显示文摘 | Lu Wei Tan Jinglu Floyd R | 2005 | Ultrasound in Medicine & Biology2005，31，7： | 1 |
| 5 | Ultrasound speckle reduction by a SUSAN-controlled anisotropic diffusion method 显示文摘 | YU Jinhua TAN Jinglu WANG Yuanyuan | 2010 | Pattern Recognition(S0031-3203)2010，43，9： | 1 |
| 6 | Detection of incomplete ellipsein images with strong noise by iterative randomizedHough transform显示文摘 | Lu Wei Tan Jinglu | 2008 | Pattern Reconfignition?2008，41，4： | 1 |
| 7 | Meat quality evaluation by computer vision显示文摘 | Tan Jinglu | 2004 | Journal of Food Engineering2004，61，1： | 1 |
| 8 | Ultrasound speckle reduction by a SUSAN-controlled anisotropic diffusion method显示文摘 | Jinhua Yu Jinglu Tan Yuanyuan Wang | 2010 | Pattern Recognition2010，，9： | 1 |
| 9 | Detection of incomplete ellipse in imageswith strong noise by iterative randomized Hough transform(IRHT)显示文摘 | LU Wei TAN Jinglu | 2008 | Pattern Recognition2008，41，4： | 1 |
| 10 | Meat quality evaluation by computer vision显示文摘 | TAN Jinglu | | 0，，01： | 1 |
| 11 | Meat quality evaluation by computer vision显示文摘 | Tan Jinglu | 2004 | Journal of Food Engineering2004，61，1： | 1 |
| 12 | Detection of incomplete ellipse in images with strong noise by iterative randomized Hough transform (IRHT) 显示文摘 | Lu Wei Tan Jinglu | 2008 | Pattern Recognition2008，41，4： | 1 |
| 13 | Meat quality evaluation by computer vision显示文摘 | Jinglu Tan | 2003 | Journal of Food Engineering2003，，1： | 1 |
| 14 | Meat quality evaluation by computer vision显示文摘 | TAN Jinglu | 2004 | Journal of Food Engineering2004，61，1： | 1 |
| 15 | Meat quality evaluation by computer vision显示文摘 | Tan Jinglu | 2004 | Journal of Food Engineering2004，61，： | 1 |
| 16 | Automated fetal head detection and measurement in ultrasound images by iterative randomized hough transform 显示文摘 | Lu Wei Tan Jinglu Floyd R | 2005 | Ultrasound in Medicine & Biology2005，31，7： | 1 |
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