Abstract: A device for on-site detection of soil organic matter, including a pre-processing module, a centrifugal system, a microfluidic chip, and a photoelectric detection module. The pre-processing module is configured to process a soil sample into a soil solution. The centrifugal system is configured to generate a centrifugal force. The microfluidic chip is configured to allow mixing of the soil solution and an extraction solvent for extraction under the centrifugal force to obtain an extract. The photoelectric detection module is configured to detect the extract to determine organic matter content in the soil solution. An on-site detection method and a microfluidic chip are also provided. The microfluidic chip includes a channel layer, a cover layer arranged above the channel layer, and a base plate layer arranged below the channel layer.

Abstract: A device for detecting soil nutrients on site, including an extracting grid, an on-site real-time detection assembly and a transfer assembly for transferring a soil extract from the extracting grid to the on-site real-time detection assembly. A soil nutrient detection method using the device and a microfluidic chip are also provided. The microfluidic chip includes a cover plate and a base plate. The base plate includes a soil extract feeding groove, a quantitative feeding groove, a reagent storage groove, and a serpentine groove.

Abstract: A laparoscopic image smoke removal method based on a generative adversarial network, and belongs to the technical field of computer vision. The method includes: processing a laparoscopic image sample to be processed using a smoke mask segmentation network to acquire a smoke mask image; inputting the laparoscopic image sample to be processed and the smoke mask image into a smoke removal network, and extracting features of the laparoscopic image sample to be processed using a multi-level smoke feature extractor to acquire a light smoke feature vector and a heavy smoke feature vector; and acquiring, according to the light smoke feature vector, the heavy smoke feature vector and the smoke mask image, a smoke-free laparoscopic image by filtering out smoke information and maintaining a laparoscopic image by using a mask shielding effect. The method has the technical effects of robustness and ability of being embedded into a laparoscopic device for use.

Abstract: The present disclosure provides a crop yield estimation method and system based on level identification and weighted decision fusion. The method includes: inputting an obtained visible light image of a target crop field at maturity into a yield level classification model, to obtain yield level output values corresponding to all yield levels of the visible light image of the target crop field at maturity, where the yield levels are determined according to a yield level rule; calculating a confidence score corresponding to each of the yield level output values, and sorting the confidence scores in descending order; selecting the first m confidence scores, and performing normalization on the first m confidence scores to obtain m yield level weights; and respectively multiplying the m yield level weights and corresponding yield levels, and adding up all products, to obtain an estimated yield of the target crop field at maturity.

Abstract: The present invention relates to the technical field of furniture items, in particular to a reusable fixed tissue holder including: a bar frame including a first bar frame and a second bar frame sleeving the first bar frame; a base fixed to one end of the first bar frame; a disc seat mounted in the base; a sucking disc body mounted on the disc seat, wherein a first channel is disposed on the disc seat, and a second channel connected with the channel is disposed on the sucking disc body; and a button structure mounted on the base and used for connecting the first channel and the second channel to the outer atmosphere. According to the present invention, a cavity is exhausted by using a pipe barrel to form a negative pressure, the tissue holder can be adsorbed on the wall surface without applying a great pressing force.

Abstract: A whole-process automatic soil tabletting machine is provided, which relates to the technical field of soil tabletting. The machine includes a device body. A tabletting platform is arranged at a bottom of the device body, a first station on which a heating device is arranged, second and third stations are arranged on the tabletting platform. A top plate is arranged at a top of the device body. A soil crushing cutter and a punch head are installed on the top plate. The soil crushing cutter and the punch head are arranged above the first and second stations respectively. The tabletting platform is installed with a groove disc where sample preparation grooves and a cleaning groove are formed. The sample preparation grooves and the cleaning groove correspond to the first station, the second station or the third station. The cleaning groove and each sample preparation groove are for placing a cleaning container and a soil sample container, respectively.