5 results about "Insect infestation" patented technology

This invention proposes a comprehensive agricultural four-condition monitoring system based on big data and its early warning and prediction method. It belongs to the field of smart agriculture technology. The method includes: performing multi-source sensor spatiotemporal alignment processing on the agricultural four-condition monitoring area to generate a spatiotemporally synchronized multi-dimensional monitoring dataset of soil moisture, insect infestation, seedling condition, and climate; constructing an agricultural causal knowledge graph based on this dataset; dynamically and adaptively adjusting thresholds according to the agricultural causal knowledge graph and initiating multimodal data acquisition to obtain the original agricultural four-condition monitoring data and corresponding spatiotemporal coordinate data; performing joint noise reduction processing on the original agricultural four-condition monitoring data using physical models and data-driven methods to generate high-quality agricultural four-condition feature data; and using this early warning and prediction method of the comprehensive agricultural four-condition monitoring system based on big data, the accuracy of agricultural risk early warning can be greatly improved, allowing farmers to promptly grasp potential risks in agricultural production.

This application provides a method for cultivating tree chairs, belonging to the field of tree shaping technology. The method involves planting a selected tree species to cultivate a single-trunk foundation tree; creating a shaping mold that conforms to the tree's growth trend; binding tree branches along a pre-set path in the mold to form a preliminary chair frame; separately cultivating chair surface seedlings and weaving a mesh chair surface to combine with the frame; daily management and shaping of the tree chair; and harvesting during dormancy followed by enzyme removal, air drying, and bark removal to obtain the finished tree chair. This invention uses elm as a preferred tree species and guides the tree's natural growth using a specialized shaping mold to form a complete tree chair structure. This solves the technical problems of traditional tree chair cultivation, such as the lack of a natural chair surface, absence of tree characteristics, long cultivation cycle, low yield, and susceptibility to cracking and insect infestation. The cultivated tree chairs are both practical and artistic, structurally robust, and can be mass-produced in a standardized manner, significantly improving the yield and efficiency of tree chair cultivation.

This invention provides a method, system, and computer equipment for the detection and classification of hyperspectral anomalies in Chinese medicinal materials, relating to the field of Chinese medicinal material testing. The method includes: reading hyperspectral data; performing foreground detection on the hyperspectral data using a multi-scale spatial spectrum fusion method to obtain a foreground mask of the abnormal region; automatically sampling with three-dimensional patches to collect N three-dimensional patch arrays of the foreground mask region; setting up a three-dimensional convolutional neural network with a band self-attention mechanism, inputting the foreground mask and the three-dimensional patch arrays into the neural network to generate a high-level semantic feature vector; and finally outputting the classification result by passing the high-level semantic feature vector through a neighborhood spatial spectrum-based self-supervised aggregation attention module. This invention, employing the above-mentioned method, system, and computer equipment for the detection and classification of hyperspectral anomalies in Chinese medicinal materials, achieves a new, efficient, accurate, and automated method for detecting mold and insect infestation in Chinese medicinal materials, significantly improving detection quality and the system's practical value.

A device is used to detect insect infestations in a tree. This device consists of inserting a needle with a microphone housing into the tree. The microphone housing includes a microphone attached to the needle. The microphone monitors an audio window. Within this window, several overlapping audio sub-windows are detected. From these sub-windows, a Mel spectrogram is calculated, which includes a feature matrix. A neural network determines whether each of the overlapping audio sub-windows contains evidence of insect presence and, if so, whether this evidence indicates that the tree is infested.

This invention relates to the field of olive juice technology, specifically to a method for purifying and preserving freshly squeezed wild Yunnan olive juice. The method involves selecting wild Yunnan olives free from insect infestation and mold, and pre-treating them; crushing and pitting the wild Yunnan olives before juicing to obtain olive juice; filtering the olive juice; adding a compound clarifying enzyme to the olive juice; blending and homogenizing the olive juice; transferring the homogenized olive juice to a deaeration treatment; sterilizing and bottling the olive juice; and storing the bottled olive juice in a cold storage. This method avoids the loss of nutrients and browning during the fresh-squeezing of wild Yunnan olive juice, meeting the market demand for high-quality Yunnan olive beverages.