Zhejiang University

Mingzhu Tao

Yong He

Xuping Feng

Yongqiang Shi

Jinnuo Zhang

Rui Yang

Lei Lin

Xiulin Bai

Qingguan Wu

Fangfang Qu

A method for monitoring rice bacterial blight includes: obtaining a multi-spectral image, severities of the rice bacterial blight, and accumulated temperature data of a rice field at different growth stages; obtaining resistance of rice varieties to the bacterial blight; extracting a mean canopy spectral reflectance of each plot in the rice field; conducting regression of the severity of the rice bacterial blight using a convolutional neural network based on the mean canopy spectral reflectance and the severity of the rice bacterial blight, and outputting a depth spectrum feature; training a disease severity regression model with the accumulated temperature data, the depth spectrum feature, and the resistance to the bacterial blight for each plot as an input and the corresponding severity as an output; and monitoring a severity of the rice bacterial blight in a to-be-monitored rice field using the disease severity regression model.

Method and system for monitoring rice bacterial blight in field based on multi-source data

A digital detection method and system for predicting drug resistance of transgenic maize are disclosed. The method includes acquiring an RGB image, three-dimensional point cloud data and chlorophyll relative content of a maize plant after medicament spraying at a current moment; calculating a pixel ratio and morphological feature according to the RGB image and three-dimensional point cloud data; inputting a detection parameter of the maize plant at the current moment into a series model to predict the detection parameter of the maize plant at a next moment to obtain a graph of change in the detection parameter in a next period; estimating a drug resistance characteristic according to the graph of the change in the detection parameter of the maize plant; and inputting the detection parameter of the maize plant at the current moment into a parallel model to predict the variety of the maize plant.

Digital detection method and system for predicting drug resistance of transgenic maize

The present disclosure provides a ratiometric fluorescent probe, a preparation method thereof, and an application in detection of hydrogen peroxide. In the present disclosure, MoOQDs (nanoenzymes) and Co/Zn-MOFs both have catalytic activity, and the large specific surface area and porous structure of Co/Zn-MOFs can provide more binding sites for the contact between nanoenzymes and substrates. Moreover, Co/Zn-MOFs have high catalytic activity similar to natural enzymes. When nanoenzymes with fluorescent properties encounter Co/Zn-MOFs with similar catalytic activity, they will collide with a spark of 'synergy catalysis', and the fusion of the two plays a role of synergy catalysis; in addition, the uniform cavity of Co/Zn-MOFs can provide 'hosts' for nanoenzymes, and Co/Zn-MOFs provide &#x201c;anchors&#x201d; for MoOQDs, avoiding the aggregation of MoOQDs and enhancing the stability of the probe.

Ratiometric fluorescent probe, preparation method thereof, and application in detection of hydrogen peroxide

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Hangzhou, China

Mingzhu Tao