Jitong Xu

China Agricultural University

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Cailing Liu

Nanchang Hangkong University

Shuaihua Hao

China Agricultural University

Chengtian Zhu

China Agricultural University

Yue Li

Tsinghua University

Yuewei Wang

Qingdao University

Zhe Zhang

China Medical University

Xiaotong Wang

Tianjin University

Xiumin Gao

University of Shanghai for Science and Technology

Guanxue Wang

University of Shanghai for Science and Technology

Xiaofeng Ning

Chinese Academy of Sciences

Cooperative Institutions

China Agricultural University

Chinese Academy of Sciences

University of Shanghai for Science and Technology

Shenyang Agricultural University

University of Chinese Academy of Sciences

Ministry of Education of the People's Republic of China

Fujian Agriculture and Forestry University

Tsinghua University

Changzhou University

Chongqing Medical University

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Analysis of Greenness Value and Photosynthetic Rate of Tomato Leaves Based on Spectral Technologies

Horticulturae (2022)

Jitong Xu Fang Wang Zhe Zhang Yuhang Guo Yufeng Liu

Tomatoes, a major vegetable crop, are not only delicious but can also prevent cancer and lower blood pressure. However, they are easily infected with diseases during the growth process, so it is of great significance to find a technology for nondestructive testing of the tomato growth state. In this study, partial least squares regression (PLSR) was used to establish a prediction model of the tomato leaf greenness value and photosynthetic rate based on laser-induced fluorescence spectroscopy and a hyperspectral imaging system. The results showed that the best preprocessing method for the fluorescence spectral model was SD+SNV, and the best methods for the hyperspectral model were FD+SNV and FD+MSC. The results for the prediction of the photosynthetic rate based on the fluorescence spectral and hyperspectral models were as follows: the coefficient of determination (R2) values were 0.9982 and 0.9739, respectively, and the root-mean-square error of prediction (RMSEP) values were 0.2781 and 0.3374, respectively. When measuring greenness, the R2 values were 0.9816 and 0.9595, and the RMSEP values were 0.1696 and 0.4032, respectively. The experimental results showed that the model based on the fluorescence spectrum had higher accuracy and lower deviation in the detection and prediction of the tomato growth state; these results provide a specific method and reference for subsequent research.

Root mean square

10.3390/horticulturae8090837

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An Efficient Computer Vision-Based Dual-Face Target Precision Variable Spraying Robotic System for Foliar Fertilisers

Agronomy (2024)

Chengtian Zhu Shuaihua Hao Cailing Liu Yuewei Wang Xuan Jia

The application of foliar fertiliser can rapidly replenish the essential nutrients required by crops. In order to enhance the precision of foliar fertiliser spraying, fertiliser utilisation, and leaf absorption efficiency, this study proposes the implementation of an efficient foliar fertiliser dual-face target precision variable spraying robot system based on computer vision. In this study, we propose the SN-YOLOX Nano-ECA as a real-time classification model for potted plants. The model has parameters and FLOPs of only 0.48 M and 0.16 G, respectively. Following deployment, the classification precision and recall reached 97.86% and 98.52%, respectively, with an FPS of 37.6. A dual-face target precision variable spraying method of foliar fertiliser based on the determination of leaf area and plant height information of potted plants was proposed. A robot platform for the application of foliar fertilisers was developed, and a positioning and navigation system based on the RSSI principle was constructed. The results of the foliar fertiliser spraying experiments demonstrate that the precision of the extracted leaf area and height information is above 97% and 96%, respectively. The navigation system demonstrated distance and angle errors of only 5.598 cm and 0.2245°. The mean discrepancy between the actual and set spraying volumes was 0.46 mL. This robotic system is capable of precise spraying of foliar fertiliser, which provides a new idea and reference for the development of efficient and precise variable spraying technology for foliar fertiliser.

Precision Agriculture

Machine Vision

10.3390/agronomy14122770

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Study of tomato growth weight-distribution model based on real-time plant weight in a solar greenhouse

Journal of Taibah University for Science (2021)

Shaokun Sun Xiaotong Wang Jitong Xu Hongdan Fu Zhouping Sun

Crop growth modeling is an important aspect of facility horticulture. Due to the imperfect structural and poor environmental control capabilities of most solar greenhouses, tomato growth in solar greenhouses in the winter half-year often occurs under unsuitable environmental conditions that do not facilitate tomato growth. However, existing crop growth models are difficult to apply to crop growth in solar greenhouses in China because suitable environmental factors are used as the main parameters in these models. The real-time tomato measurement system developed was used to measure the real-time growth of tomato plants. Combined with environmental data. A tomato growth model, an aboveground organ allocation model and conversion coefficient model between fresh weight and dry weight of tomato plants based on real-time tomato weight that are able to overcome the influence of environmental stress were established. The results of this study lay the foundation for appropriate management and fertilization in solar greenhouses.

Solar greenhouse

Cherry tomato

Dry weight

10.1080/16583655.2021.2014690

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Focal shift of an axisymmetric Bessel–Gaussian beam under Airy mixing modulation

Applied Optics (2020)

Sitong Ding Yue Li Ziyan Li Guanxue Wang Jitong Xu

In this paper, the focusing characteristics of Bessel-Gaussian beams are studied by means of vector diffraction theory. The vector field distribution of the axisymmetric Bessel-Gaussian beam of a cylindrical vector is derived by calculating and adding Airy mixing modulation to the Bessel-Gaussian beam. It is found that with a series of regular focusing change characteristics, the focusing presents strong stability of the optical chain structure, and the number of optical chain links can be adjusted. At the same time, it is pointed out that in the case of a tightly focused helically polarized beam, the polarization in the focal region is not uniform, but there was a similar horizontal shift in focus. Finally, the relevant practical application scenarios are briefly introduced. The correlation focus shift conversion can be widely used in electronic acceleration, optical sampling and operation, and biological imaging.

Gaussian beam

Bessel beam

Light beam

10.1364/ao.388065

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Citations (1)

Discrete Element Flexible Modeling and Experimental Verification of Rice Blanket Seedling Root Blanket

Xin Jia Xueqing Zheng L. H. Chen Cailing Liu Jiannong Song

10.2139/ssrn.5031663

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