Abstract: In a grain sampling and imaging device, a grain bin (1) is located under a sampling body (5), a grain feed connector (4) is fixed to a top of the sampling body (5), an observation window (2) is installed on the sampling body (5), a camera (3) is installed above the observation window (2); grains fall to a grain feed connector (4), and then into the sampling body (5), and then are sieved by multiple passages of the sampling body (5), a part of the grains randomly enter the observation window (2) and photographed by the camera (3), and finally all of the grains enter the grain bin (1) through a discharge outlet (5.1) provided at a bottom of the sampling body (5).

Abstract: A robot with the perception capability of livestock and poultry information and a mapping approach based on autonomous navigation are disclosed. The robot includes a four-wheeled vehicle (3), an autonomous navigation system, a motion module and an information acquisition module. The autonomous navigation system includes a LiDAR (10), a RGB-D camera (9), an inertial measurement unit (5), an odometer and a main control module (12). The information acquisition module includes two thermal imagers (6), an environmental detection sensor module (8) and a wireless transmission module (11). The robot is controlled in indoor working environment, and simultaneously information about surrounding environment during movement is obtained with the autonomous navigation system; positioning locations are obtained through data processing and a global map is constructed, which can improve positioning accuracy, reduce dependence on breeders, realize automatic environment detection.

Abstract: An integrated flexible self-charging power supply for energy harvesting in an agricultural environment and a preparation method thereof are provided, wherein the integrated flexible self-charging power supply for the energy harvesting in the agricultural environment includes polydimethylsiloxane (PDMS) and a graphene electrode entirely encapsulated in the PDMS, where the graphene electrode includes a power generation portion and an interdigital portion; the power generation portion and the interdigital portion are integrally encapsulated in the PDMS; the interdigital portion is covered with a solid electrolyte; two ends of the interdigital portion of the graphene electrode are led out by wires to serve as two output ends of the power supply.

Abstract: A packaging material for the non-destructive detection of food quality, a preparation method of the packaging material, and a detection method using the packaging material are provided. The packaging material includes a film material covering the outside of the food, where the film material includes a flexible base layer, an adhesive layer, a transparent conductive layer, and a nanostructured layer which are sequentially stacked from the outer side to the inner side. The flexible base layer is a polydimethylsiloxane (PDMS) layer. The adhesive layer is a polyimide (PI) layer. The transparent conductive layer is an indium tin oxide (ITO) layer. The nanostructured layer is a silver nanoparticles layer. The preparation method includes spin-coating and curing PI on PDMS, sputtering ITO, self-assembling silver nanoparticles on the transparent conductive layer, and etching according to a pattern.

Abstract: The present disclosure provides a multi-waveband-tunable multi-scale meta-material and a preparation method and a spectral detection method thereof. The multi-waveband-tunable multi-scale meta-material includes a stretchable layer, a non-stretchable support layer, a metal layer, and a nanoparticle layer that are sequentially stacked from bottom to top. The stretchable layer is a polydimethylsiloxane (PDMS) layer. The non-stretchable support layer is a polyimide (PI) layer. The metal layer is a gold layer. The nanoparticle layer is modified with a hydrophobic group. The preparation method includes vacuum-evaporating fluorosilane on a silicon wafer, spin-coating PDMS, heat-curing PDMS, conducting plasma cleaning, spin-coating and curing PI, sputtering gold, self-assembling nanoparticles modified with the hydrophobic group on a water surface to form the nanoparticle layer, transferring the nanoparticle layer to the metal layer, and etching according to a pattern.

Abstract: Disclosed in the present invention are a digital nucleic acid amplification testing method and an integrated detection system based on CRISPR-Cas technology. The integrated detection system comprises an integrated reaction chip, a temperature control module, a light source and an optical signal detector. The method comprises: uniformly dividing a nucleic acid amplification reagent into amplification micro-droplets, then mixing the amplification micro-droplets after digital nucleic acid amplification with detection micro-droplets containing CRISPR-Cas detection reagent to perform a CRISPR reaction, and when the reaction is finished, detecting an optical signal to realize high-specificity testing of a target object, and the concentration or copy number of nucleic acid molecules in a sample to be tested is also obtained, and high-sensitivity absolute quantitative testing of a target object is realized.

Abstract: A crop yield estimation method based on spatio-temporal deep learning including: obtaining regional historical crop yield data and meteorological data, preprocessing the meteorological data and the yield data to respectively obtain meteorological parameters and a detrended yield as input and output of the crop yield spatio-temporal deep learning model; constructing the spatio-temporal deep learning model for crop yield estimation, and optimizing hyperparameters; and building a training set by taking the meteorological parameters as an input and the detrended yield as output to train the model and obtain parameters of the model; for the crop yield to be estimated, feeding meteorological parameters into the trained model, and obtaining the crop yield estimation result. The model combined temporal and spatial learning to achieve better crop yield estimation accuracy and stability at large spatial scales.

Abstract: Disclosed is a large-scale crop phenology extraction method based on a shape model fitting method. The method comprises: acquiring a multi-year vegetation index time sequence curve in a localized geographic region; performing smooth fitting on the vegetation index time sequence curve by using a dual logistic function fitting means; establishing shape models by using reference curves and reference points of agrometeorological stations; performing shape model fitting by means of transformation; and obtaining a phenological period extraction value of the localized geographic region by means of calculation using the optimal scaling parameter. According to the present invention, macroscopic features of the curve are used, such that the influence of localized fluctuation and noise of the curve can be reduced, and a better extraction precision is obtained; and each phenological period of a crop can be extracted at the same time.

Abstract: A sample signal amplification method using a terahertz band graphene absorber is provided. The method comprises: fabricating a graphene absorber through steps of metal evaporation, graphene transfer and the like; preparing sample solutions having different concentrations; dropwise adding a sample solution to the surface of the graphene absorber, and then drying in the air at room temperature; collecting terahertz time-domain signals of all sample points to be detected and reference sample points on the surface of the graphene absorber; and calculating absorption rates of all the sample points to be detected and the reference sample points according to the terahertz time-domain signals, and calculating the intensity change of an absorption peak according to the intensity value corresponding to the highest point of the absorption peak.

Abstract: A superhydrophobic modified film and modification method, and a triboelectric nanogenerator (TENG) composed thereof and a preparation method are disclosed. A polyethylene (PE) film is etched and deposited with an inductively coupled plasma (ICP) etcher in sequence. A nano-textured structure is formed on an upper surface of the PE film and a fluorocarbon layer is further deposited for modification. An upper electrode of the film is constructed by sticking a piece of ultra-thin copper tape on a superhydrophobic surface of the superhydrophobic modified film, and a lower electrode of the film is constructed by spin-coating a conductive polymer on a lower surface of the film after O2 plasma treatment. Thus, the TENG with high output and a double-electrode working mode based on the superhydrophobic modified greenhouse film is constructed. According to the modification method, the nano-textured structure is constructed on the surface of the film.

Abstract: A method for detecting a field navigation line after ridge sealing of crops includes the following steps. A field crop image is acquired. Image color space transformation, image binaryzation, longitudinal integration, neighborhood setting and region integration calculation are sequentially performed on the field crop image to obtain a crop row image. Detections of an initial middle ridge, a left ridge and a right ridge are performed on the crop row image to obtain center lines of the initial middle ridge, left ridge and right ridge. Center lines of a left (right) crop row are established by using an area 1 between the center lines of the left (right) ridge and the initial middle ridge. A center line model of a middle ridge is established by using an area 0 between the center lines of the left and right crop rows, namely a navigation line of a field operation machine.

Abstract: Disclosed in the present invention are a digital nucleic acid amplification testing method and an integrated detection system based on CRISPR-Cas technology. The integrated detection system comprises an integrated reaction chip, a temperature control module, a light source and an optical signal detector. The method comprises: uniformly dividing a nucleic acid amplification reagent into amplification micro-droplets, then mixing the amplification micro-droplets after digital nucleic acid amplification with detection micro-droplets containing CRISPR-Cas detection reagent to perform a CRISPR reaction, and when the reaction is finished, detecting an optical signal to realize high-specificity testing of a target object, and the concentration or copy number of nucleic acid molecules in a sample to be tested is also obtained, and high-sensitivity absolute quantitative testing of a target object is realized.

Abstract: A method for detecting a field navigation line after ridge sealing of crops includes the following steps. A field crop image is acquired. Image color space transformation, image binaryzation, longitudinal integration, neighborhood setting and region integration calculation are sequentially performed on the field crop image to obtain a crop row image. Detections of an initial middle ridge, a left ridge and a right ridge are performed on the crop row image to obtain center lines of the initial middle ridge, left ridge and right ridge. Center lines of a left (right) crop row are established by using an area 1 between the center lines of the left (right) ridge and the initial middle ridge. A center line model of a middle ridge is established by using an area 0 between the center lines of the left and right crop rows, namely a navigation line of a field operation machine.

Abstract: A crop yield estimation method based on spatio-temporal deep learning including: obtaining regional historical crop yield data and meteorological data, preprocessing the meteorological data and the yield data to respectively obtain meteorological parameters and a detrended yield as input and output of the crop yield spatio-temporal deep learning model; constructing the spatio-temporal deep learning model for crop yield estimation, and optimizing hyperparameters; and building a training set by taking the meteorological parameters as an input and the detrended yield as output to train the model and obtain parameters of the model; for the crop yield to be estimated, feeding meteorological parameters into the trained model, and obtaining the crop yield estimation result. The model combined temporal and spatial learning to achieve better crop yield estimation accuracy and stability at large spatial scales.

Abstract: Disclosed is a large-scale crop phenology extraction method based on a shape model fitting method. The method comprises: acquiring a multi-year vegetation index time sequence curve in a localized geographic region; performing smooth fitting on the vegetation index time sequence curve by using a dual logistic function fitting means; establishing shape models by using reference curves and reference points of agrometeorological stations; performing shape model fitting by means of transformation; and obtaining a phenological period extraction value of the localized geographic region by means of calculation using the optimal scaling parameter. According to the present invention, macroscopic features of the curve are used, such that the influence of localized fluctuation and noise of the curve can be reduced, and a better extraction precision is obtained; and each phenological period of a crop can be extracted at the same time.

Abstract: A method for extracting Raman characteristic peaks employing improved principal component analysis comprising: using a confocal microscopic Raman-spectroscopic instrument to collect Raman spectroscopic data from surfaces of pork and beef samples; and performing preprocessing on the Raman spectroscopic data, performing principal component analysis, establishing a principal component loading scatter plot, extracting dot characteristics from the principal component loading scatter plot, analyzing same, and performing filtering on the dot characteristics to obtain Raman characteristic peaks. The method for extracting Raman characteristic peaks employing improved principal component analysis is used to extract Raman characteristic peaks from pork and beef samples, and then the Raman characteristic peaks are inputted into a classifier to undergo classification, thereby achieving high accuracy and quick classification.

Abstract: The invention discloses a method for improving triboelectric output performance of a protein film by changing a protein structure. Indissolvable protein powder and a trace amount of another protein powder are co-dissolved in a strong alkaline aqueous solution and maintained for a period of time, and then acidifying treatment is performed to achieve neutral condition to allow charge redistribution to induce refolding of the protein, which results in burying of hydrophobic groups of the protein and exposure of charged groups. Therefore, the solubility of the protein is remarkably improved, and a uniform protein solution is formed under a neutral condition. The plant protein structure is changed through a pH cycle process, a surface group exposure condition is adjusted, and the output performance of the plant protein film is greatly improved.

Abstract: An integrated flexible self-charging power supply for energy harvesting in an agricultural environment and a preparation method thereof are provided, wherein the integrated flexible self-charging power supply for the energy harvesting in the agricultural environment includes polydimethylsiloxane (PDMS) and a graphene electrode entirely encapsulated in the PDMS, where the graphene electrode includes a power generation portion and an interdigital portion; the power generation portion and the interdigital portion are integrally encapsulated in the PDMS; the interdigital portion is covered with a solid electrolyte; two ends of the interdigital portion of the graphene electrode are led out by wires to serve as two output ends of the power supply.

Abstract: A plant protein-based triboelectric nanogenerator (TENG), and a fabrication method and use thereof are provided. The TENG includes a triboelectric negative layer and a protein film, where the protein film and the triboelectric negative layer are stacked surface-to-surface; and an electrode is adhered to or plated on a back surface of each of the protein film and the triboelectric negative layer, or only a back surface of either of the protein film and the triboelectric negative layer is provided with a grounded electrode. A protein powder is dissolved in water or an ethanol aqueous solution, then a plasticizing agent is added, and the protein is denatured through thermal treatment to obtain an extended structure required for film formation; and the solvent is evaporated, and a resulting product is dried to obtain the protein film with uniform texture and excellent transparency and flexibility. The TENG is used in crop growth.

Abstract: A sample signal amplification method using a terahertz band graphene absorber is provided. The method comprises: fabricating a graphene absorber through steps of metal evaporation, graphene transfer and the like; preparing sample solutions having different concentrations; dropwise adding a sample solution to the surface of the graphene absorber, and then drying in the air at room temperature; collecting terahertz time-domain signals of all sample points to be detected and reference sample points on the surface of the graphene absorber; and calculating absorption rates of all the sample points to be detected and the reference sample points according to the terahertz time-domain signals, and calculating the intensity change of an absorption peak according to the intensity value corresponding to the highest point of the absorption peak.