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学者姓名：赵春江
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Abstract ：
The rapid development of modern agricultural biotechnology and information technology has become a key driver of modern agricultural growth. The demand for ion detection is prevalent in all aspects of agriculture. This study details the research on an ion sensor agricultural system using potassium (K) ion-selective electrodes (ISEs). The main emphasis is on the application of artificial neural networks (ANNs) for driving ISE development of accuracy. ISEs based on solid contact with metal oxides, specifically manganese dioxide, are studied. Moreover, the design details of an ion signal acquisition device using the NI-9205 acquisition card and LabVIEW are presented. Finally, based on experimental results of nutrient solution samples, ANNs show better performance than the multiple linear regression method. The mean relative error of K-ISE detection was maintained within 4%. This study thoroughly discusses ISE technology to promote its adoption in agriculture.
Keyword ：
Artificial neural network Artificial neural network Ion-selective electrode Ion-selective electrode Hydroponics application Hydroponics application Potassium-ion Potassium-ion Measurement device Measurement device
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| GB/T 7714 | Zhai, Jiawei , Luo, Bin , Liu, Tianyang et al. Development of a hydroponic device using potassium Ion-Selective electrode and neural network technology [J]. | MICROCHEMICAL JOURNAL , 2024 , 207 . |
| MLA | Zhai, Jiawei et al. "Development of a hydroponic device using potassium Ion-Selective electrode and neural network technology" . | MICROCHEMICAL JOURNAL 207 (2024) . |
| APA | Zhai, Jiawei , Luo, Bin , Liu, Tianyang , Dong, Hongtu , Jin, Xiaotong , Wang, Xiaodong et al. Development of a hydroponic device using potassium Ion-Selective electrode and neural network technology . | MICROCHEMICAL JOURNAL , 2024 , 207 . |
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Abstract ：
在农田无线传感器网络监测应用中,由于环境遮挡与作物生长引起的信号多尺度效应造成网络链路质量不稳定,进而影响数据汇集性能.针对该情况,同时考虑到农田WSN的能量受限问题,提出了一种农田信道和能耗感知的机会路由优化方法.基于农田信道模型估计链路连通概率,建立节点机会转发能耗预测模型,根据不同机会转发路径的中继概率得出其转发能耗期望,在候选转发集构建与排序时同时考虑路径期望能耗和节点剩余能量,以提高节点间、路径间的能量均衡性能.通过仿真实验将改进机会路由算法与LCOR、IOP、IPOR-OE算法进行对比,结果显示:网络生命周期CECOR算法的网络生命周期约为LCOR的2.2倍、IPOR-OE的5.2倍、IOP的8.7倍,最大能耗均方差分别是LCOR的3/4、IPOR-OE和IOP的1/2.从结果可以看出,改进算法延长了网络生命周期,提高了网络节点间能耗均衡性能,有助于实现农田监测网络的长时间稳定工作,实现了预期研究目标.
Keyword ：
机会传输 机会传输 概率链路 概率链路 路由协议 路由协议 农田信道模型 农田信道模型 农田无线传感器网络 农田无线传感器网络
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| GB/T 7714 | 缪祎晟 , 赵春江 , 吴华瑞 . 信道与能耗感知的农田WSN机会路由优化方法 [J]. | 重庆理工大学学报（自然科学版） , 2021 , 35 (9) : 1-7 . |
| MLA | 缪祎晟 et al. "信道与能耗感知的农田WSN机会路由优化方法" . | 重庆理工大学学报（自然科学版） 35 . 9 (2021) : 1-7 . |
| APA | 缪祎晟 , 赵春江 , 吴华瑞 . 信道与能耗感知的农田WSN机会路由优化方法 . | 重庆理工大学学报（自然科学版） , 2021 , 35 (9) , 1-7 . |
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Abstract ：
在农田无线传感器网络监测应用中,由于环境遮挡与作物生长引起的信号多尺度效应造成网络链路质量不稳定,进而影响数据汇集性能。针对该情况,同时考虑到农田WSN的能量受限问题,提出了一种农田信道和能耗感知的机会路由优化方法。基于农田信道模型估计链路连通概率,建立节点机会转发能耗预测模型,根据不同机会转发路径的中继概率得出其转发能耗期望,在候选转发集构建与排序时同时考虑路径期望能耗和节点剩余能量,以提高节点间、路径间的能量均衡性能。通过仿真实验将改进机会路由算法与LCOR、IOP、IPOR-OE算法进行对比,结果显示:网络生命周期CECOR算法的网络生命周期约为LCOR的2.2倍、IPOROE的5.2倍...
Keyword ：
机会传输 机会传输 农田信道模型 农田信道模型 路由协议 路由协议 农田无线传感器网络 农田无线传感器网络 概率链路 概率链路
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| GB/T 7714 | 缪祎晟 , 赵春江 , 吴华瑞 . 信道与能耗感知的农田WSN机会路由优化方法 [J]. | 重庆理工大学学报(自然科学) , 2021 , 35 (09) : 1-7 . |
| MLA | 缪祎晟 et al. "信道与能耗感知的农田WSN机会路由优化方法" . | 重庆理工大学学报(自然科学) 35 . 09 (2021) : 1-7 . |
| APA | 缪祎晟 , 赵春江 , 吴华瑞 . 信道与能耗感知的农田WSN机会路由优化方法 . | 重庆理工大学学报(自然科学) , 2021 , 35 (09) , 1-7 . |
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Abstract ：
Wireless sensor network (WSN) can achieve real-time data collection and transmission of environment, soil, meteorology, crop physiology and other information in agriculture. The data provided by WSN could be used for decision making and management, which is very important in precision agriculture. Wheat farmland wireless sensor network has the characteristics of wide coverage area, long planting period, inconvenient energy supply, and serious impact of crop environment on wireless signal transmission. Routing protocol is an important method to achieve long-term WSN monitoring by selecting an appropriate path with low energy consumption for data transmission. According to the phenomenon of uneven environment and channel parameters caused by intensive crop growth in farmland, a non-uniform clustering routing protocol based on effective energy consumption (UCEEC) was proposed in this work. The method combined with the characteristics of multi-path fading of farmland environment signals. The idea of image segmentation was introduced. Nodes with high similarity were divided into a cluster area by the dissimilarity between nodes in order to improve the intracluster communication performance. Meanwhile, a multi-hop path selection method between cluster-heads based on the estimation of two-hop effective energy consumption is designed. The energy consumption cost factor is calculated by the effective energy consumption and the average energy consumption within the cluster to achieve the minimum and balance of the overall energy consumption of the network. Simulation results show that, compared with the existing Maximum Residual Energy Based Routing (MREBR) protocol, minimum Energy Consumption Based Routing (MEC) routing protocols, UCEEC improves the energy balance effect between nodes, prolongs the network life cycle, and realizes efficient energy utilization of wireless sensor network data collection in the complex environment of wheat field.
Keyword ：
energy optimization energy optimization multi-path fading channel multi-path fading channel wireless sensor networks wireless sensor networks routing protocol routing protocol farmland farmland
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| GB/T 7714 | Miao, Yisheng , Zhao, Chunjiang , Wu, Huarui . Non-uniform clustering routing protocol of wheat farmland based on effective energy consumption [J]. | INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING , 2021 , 14 (3) : 163-170 . |
| MLA | Miao, Yisheng et al. "Non-uniform clustering routing protocol of wheat farmland based on effective energy consumption" . | INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING 14 . 3 (2021) : 163-170 . |
| APA | Miao, Yisheng , Zhao, Chunjiang , Wu, Huarui . Non-uniform clustering routing protocol of wheat farmland based on effective energy consumption . | INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING , 2021 , 14 (3) , 163-170 . |
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Abstract ：
Proper feeding of pigs can increase the litter size and improve the disease resistance level. In recent years, intelligent and automatic equipment, which can collect feeding times, feed intake, feed time and growth conditions, have been applied to the pig feeding. Most equipment can feed both manually and automatically. Not enough attention has been paid to one pig’s health condition, living environment, and dietary status, which should be considered together in order to make an accurate decision on the feed intake of each pig. At the same time, there are not many network service platforms in China which can effectively manage the intelligent and automatic equipment remotely and simultaneously. To improve pigs’ productivity and enhance the intelligent management of pigs, wireless sensor network, intelligent sensors, network service platform, and reasoning and decision-making technology have been utilized in the management of pigs in multiple areas throughout China. Single feed intake, living environment information, fitness, and weight for pigs throughout China with different conditions were collected in the network service platform by using the intelligent feed equipment which had several different sensors. Meanwhile, the network service platform could recognize the identity of each pig and provide accurate feed remotely. The network service platform would send a text message or an audible and visual alarm to inform the pig keeper whether the pig’s feed intake was proper. According to the reasoning and decision-making model we built in the network service platform, we can remotely obtain through the platform more accurate information within seconds as to each pig’s feeding status. Moreover, the experiment showed that the feeding container was the key factor that influenced the precision of feeding, and the measured value was closely approximate to the target value with error correction. © IFIP International Federation for Information Processing 2019.
Keyword ：
Decision making Decision making Wireless sensor networks Wireless sensor networks Internet of things Internet of things Agriculture Agriculture Error correction Error correction Feeding Feeding Nutrition Nutrition Mammals Mammals
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| GB/T 7714 | Ma, Weihong , Fan, Jinwei , Zhao, Chunjiang et al. The realization of pig intelligent feeding equipment and network service platform [C] . 2019 : 473-484 . |
| MLA | Ma, Weihong et al. "The realization of pig intelligent feeding equipment and network service platform" . (2019) : 473-484 . |
| APA | Ma, Weihong , Fan, Jinwei , Zhao, Chunjiang , Wu, Huarui . The realization of pig intelligent feeding equipment and network service platform . (2019) : 473-484 . |
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Abstract ：
【目的】玉米株型参数获取是玉米精确化育种和栽培研究的重要环节,研究解决玉米株型参数获取中存在的测量标准不一致、测量精度低、数据难以可视化、算法提取参数精度低等问题具有重要意义。【方法】本文利用三维数字化仪获取玉米植株骨架结构,提出玉米茎、叶、雄穗和雌穗器官三维数字化获取标准规程。通过将植株三维数字化数据旋转至与Z轴正方向平行并平移至坐标系原点进行数据标准化,进一步根据三维数字化数据位置关系,结合各株型参数的定义实现了株高、叶片着生高度、叶片最高点高度、叶长、叶宽、叶展、叶倾角及叶方位角等主要株型参数的提取,同时提出一种新的玉米植株方位平面计算方法,通过构建植株方位平面与各叶方位角角度差绝对值之...
Keyword ：
三维数字化 三维数字化 植株方位平面 植株方位平面 株型参数 株型参数 玉米 玉米
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| GB/T 7714 | 温维亮 , 郭新宇 , 赵春江 et al. 基于三维数字化的玉米株型参数提取方法研究 [J]. | 中国农业科学 , 2018 , 51 (06) : 1034-1044 . |
| MLA | 温维亮 et al. "基于三维数字化的玉米株型参数提取方法研究" . | 中国农业科学 51 . 06 (2018) : 1034-1044 . |
| APA | 温维亮 , 郭新宇 , 赵春江 , 肖伯祥 , 王勇健 . 基于三维数字化的玉米株型参数提取方法研究 . | 中国农业科学 , 2018 , 51 (06) , 1034-1044 . |
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Abstract ：
为利用少量实测数据快速构建能够反映因品种、环境条件、栽培管理措施等因素产生形态结构差异的玉米群体三维模型,提出基于t分布函数的玉米群体三维模型构建方法。通过实测数据构建主要株型参数的t分布函数,在其约束下生成群体内各植株主要株型参数,通过构造株型参数相似性度量函数调用玉米器官三维模板资源库中的器官几何模板,结合人工交互或图像提取的各植株生长位置与植株方位平面角2组群体结构信息生成玉米群体几何模型。利用三维数字化仪获取的玉米群体田间原位三维数字化数据所构建玉米群体计算得到的LAI与该方法构建玉米群体计算得到的LAI进行对比验证,结果表明:该方法所生成玉米群体叶面积指数与原位三维数字化数据所构建玉...
Keyword ：
可视化计算 可视化计算 t分布 t分布 模型 模型 群体 群体 作物 作物 三维建模 三维建模 玉米 玉米
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| GB/T 7714 | 温维亮 , 赵春江 , 郭新宇 et al. 基于t分布函数的玉米群体三维模型构建方法 [J]. | 农业工程学报 , 2018 , 34 (04) : 192-200 . |
| MLA | 温维亮 et al. "基于t分布函数的玉米群体三维模型构建方法" . | 农业工程学报 34 . 04 (2018) : 192-200 . |
| APA | 温维亮 , 赵春江 , 郭新宇 , 王勇健 , 杜建军 , 于泽涛 . 基于t分布函数的玉米群体三维模型构建方法 . | 农业工程学报 , 2018 , 34 (04) , 192-200 . |
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Abstract ：
This study proposed an integrated approach to evaluate the efficiency of forced-air cooling of apples stacked on pallets. Computational fluid dynamics (CFD) modeling was used to evaluate the cooling rate, uniformity, moisture loss, and energy consumption during precooling of apples. Experiments were conducted to quantify the incidence of chilling injury. A reasonable increase in cooling rate and uniformity was obtained with an increase in air-inflow rate to 2.31 L s(-1) kg(-1); any further increase in air-inflow rate will lead to a relatively low increase in cooling rate and uniformity, but a significant increase in energy consumption and cooling injury. An exponential relationship exists between fan power (P-w) and pressure differential (Delta P) as well as between total fan energy consumption (E-c) and air-inflow rate (E-c = hx(k)). Finally, the mass loss of fruit is primarily influenced by cooling time rather than air-inflow rate. (C) 2018 Elsevier Ltd and IIR. All rights reserved.
Keyword ：
Energy consumption Energy consumption Forced-air cooling Forced-air cooling Computational fluid dynamics (CFD) Computational fluid dynamics (CFD) Cold chain Cold chain Apple Apple
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| GB/T 7714 | Han, Jia-Wei , Zhao, Chun-Jiang , Qian, Jian-Ping et al. Numerical modeling of forced-air cooling of palletized apple: Integral evaluation of cooling efficiency [J]. | INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID , 2018 , 89 : 131-141 . |
| MLA | Han, Jia-Wei et al. "Numerical modeling of forced-air cooling of palletized apple: Integral evaluation of cooling efficiency" . | INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID 89 (2018) : 131-141 . |
| APA | Han, Jia-Wei , Zhao, Chun-Jiang , Qian, Jian-Ping , Ruiz-Garcia, Luis , Zhang, Xiang . Numerical modeling of forced-air cooling of palletized apple: Integral evaluation of cooling efficiency . | INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID , 2018 , 89 , 131-141 . |
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Abstract ：
Crop colony is the organization system which performs photosynthesis and dry matter production function. Its morphological structure has important influence on light interception ability, canopy photosynthetic efficiency and crop yield. The morphological characteristics of crop colony have always been the most basic way for people to recognize, analyze and evaluate crops. Therefore, it is of great practical significance to rapidly and accurately model and analyze the morphology of crop colony in a digital and visual way. Morphological data acquisition of maize colony is labor-intensive and time-consuming, and thus a t-distribution based three-dimensional (3D) maize colony modeling method was proposed using a few measured data. The method constructs t-distribution function of primary plant morphological parameters using measured data and generates random plant morphological parameters under the constraint. The main plant morphological parameters include plant and phytomer scale. Here plant scale parameters include plant height, total leaf number, and first leaf index, and phytomer scale parameters include leaf growth height, leaf insertion angle, leaf length, leaf width, and leaf azimuthal angle. Particularly, leaf azimuthal angles are generated using the deviations between the plant azimuthal plane and leaf azimuths. High quality geometric models in 3D template resource database of maize organs are selected by constructing a similarity assess function of plant morphological parameters. Leaf length, leaf insertion angle, leaf index, and plant cultivar are the control parameters in the function. Then geometric models of individual plants in target colony are generated. Interactive design or field image extraction method is used to allocate the growth positions and plant azimuthal planes of each plant in the colony. Maize colony is generated by moving and rotating operations of each plant according to the designed or extracted growth positions and plant azimuthal planes. Leaf area index (LAI) is used to validate the generated maize colony model. Three in-situ field measurement experiments in Qitai County of Xinjiang using 3D digitizer were carried out to reconstruct geometric models of maize colony, and the cultivar was Xianyu 335 and the planting densities were 105, 135, and 165 thousand plants/hm2, as true values for LAI calculating. Corresponding plant morphological parameters of the corresponding colonies were measured. The maize colony modeling method based on t-distribution function was used to construct 3D models and LAI was also calculated for the colonies. Results show that the LAI errors are less than ±2%. In addition, generalized LAI of different heights of plant colony is proposed to provide more detailed verification in different height levels. The averaged RMSE (root mean square error) of Xianyu 335 with the density of 135 thousand plants/hm2 is 0.023, and the averaged NRMSE (normalized root mean square error) is 0.425, which demonstrate that it has a good consistency of spatial leaf distribution between the in-situ measured field colony and reconstructed colony using t-distribution. These results show that the proposed maize colony modeling method could meet the needs of plant functional-structural analysis. Compared with the existing methods, the proposed method is more effective and highly realistic, and the constructed maize colonies are capable of reflecting the agronomic characteristics of the target colony, such as the differences caused by intrinsic cultivar, environment, planting, or management factors. Maize colony model could be rapidly generated by simple modification of morphological input parameters. Combined with the light distribution simulating algorithm, a large number of maize colony models will be designed for virtual experiments. It has great importance for the research and application of maize plant morphology optimization, estimation of planting density, adaptability evaluation of different cultivars, and cultivation strategy decision. Due to the complexity of maize colony structure morphology, there are still many subsequent colony modeling issues that will be addressed in future research, such as adjacent phytomer parameters constraint model construction, plant collision detection and collision response, and colony mesh simplification and optimization for visual computing. © 2018, Editorial Department of the Transactions of the Chinese Society of Agricultural Engineering. All right reserved.
Keyword ：
Models Models Three dimensional computer graphics Three dimensional computer graphics Data acquisition Data acquisition Cultivation Cultivation Distribution functions Distribution functions Errors Errors Mean square error Mean square error Morphology Morphology Geometry Geometry Function evaluation Function evaluation Plants (botany) Plants (botany) Crops Crops
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| GB/T 7714 | Wen, Weiliang , Zhao, Chunjiang , Guo, Xinyu et al. Construction method of three-dimensional model of maize colony based on t-distribution function [J]. | Transactions of the Chinese Society of Agricultural Engineering , 2018 , 34 (4) : 192-200 . |
| MLA | Wen, Weiliang et al. "Construction method of three-dimensional model of maize colony based on t-distribution function" . | Transactions of the Chinese Society of Agricultural Engineering 34 . 4 (2018) : 192-200 . |
| APA | Wen, Weiliang , Zhao, Chunjiang , Guo, Xinyu , Wang, Yongjian , Du, Jianjun , Yu, Zetao . Construction method of three-dimensional model of maize colony based on t-distribution function . | Transactions of the Chinese Society of Agricultural Engineering , 2018 , 34 (4) , 192-200 . |
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Abstract ：
The current packaging designs and the efficiency of forced-air cooling (FAC) of fresh produce can be considerably improved by comprehensively comparing and evaluating the existing packaging designs. This study presents a market survey that studies samples of typical apple cartons used in China. Furthermore, by combining experiment and computational fluid dynamics (CFD) modelling, a novel integral approach is proposed to evaluate cooling rate and uniformity, energy efficiency, and fruit quality (including safety) as a result of FAC for different ventilated-packaging designs. The process uses CFD to simulate the three-dimensional spatio-temporal distributions of airflow and product temperatures during precooling. In addition, experiments on chilling injury and mass loss are also reported. The results show that the optimum fresh-fruit packaging design depends on the product size and the location of the product and tray inside the packaging. For all existing package designs, the optimal air-inflow velocity is found to lie in the range 0.4-1 m/s (or 3-5 L s(-1) kg(-1)), any further increase in airflow rate simply wastes energy because it leads to a relatively low increase in cooling rate and uniformity. The level of chilling injury and mass loss per box show a different trend with increasing air-inflow velocity. The accuracy of the CFD simulations was confirmed by a good agreement with experiments. The maximum root mean-square error and mean absolute percentage error for produce temperature are 0.727 degrees C and 18.69%, respectively. This research unveils the advantages and disadvantages of the various existing packaging designs and provides a reliable theoretical and experimental basis for achieving an integral evaluation of the performance of FAC. (C) 2017 Published by Elsevier Ltd.
Keyword ：
Carton design Carton design Computational fluid dynamics (CFD) Computational fluid dynamics (CFD) heat transfer heat transfer Forced-air cooling Forced-air cooling Fruit quality Fruit quality Energy consumption Energy consumption
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| GB/T 7714 | Han, Jia-Wei , Qian, Jian-Ping , Zhao, Chun-Jiang et al. Mathematical modelling of cooling efficiency of ventilated packaging: Integral performance evaluation [J]. | INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER , 2017 , 111 : 386-397 . |
| MLA | Han, Jia-Wei et al. "Mathematical modelling of cooling efficiency of ventilated packaging: Integral performance evaluation" . | INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER 111 (2017) : 386-397 . |
| APA | Han, Jia-Wei , Qian, Jian-Ping , Zhao, Chun-Jiang , Yang, Xin-Ting , Fan, Bei-Lei . Mathematical modelling of cooling efficiency of ventilated packaging: Integral performance evaluation . | INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER , 2017 , 111 , 386-397 . |
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