3 results about "Leaf mold" patented technology

This invention discloses a method and system for detecting tomato leaf diseases based on MSCB-YOLOv11, belonging to the field of agricultural disease detection technology. The method includes: collecting images of early blight, late blight, leaf mold, leaf spot, and healthy leaves of tomatoes to construct an initial dataset; preprocessing and labeling the images to obtain a standardized dataset; improving the YOLOv11 network by replacing the C3k2 module in the backbone network with a self-developed multi-scale edge information selection module C3k2-MSES, replacing the upsampling module in the neck network with a high-efficiency, lightweight upsampling convolutional block EUCB, and replacing the C2PSA module in the backbone network with a pyramid self-attention module C2PSA-LRSA that integrates low-resolution self-attention, thus constructing an MSCB-YOLOv11 model; training and validating the model using the standardized dataset; inputting the image to be detected into the trained model, and outputting disease category and location information. This invention effectively improves the detection accuracy of small target lesions and adaptability in complex scenarios, achieving a significant improvement in detection performance while maintaining real-time performance.

The present disclosure provides a method for reducing dinitrogen monoxide emission from a soil composition containing a nitrogenous fertilizer. The soil composition contains a base soil and the nitrogenous fertilizer. The method for reducing dinitrogen monoxide emission comprises mixing decomposed leaf matter with the base soil and adjusting the mixed proportion of the decomposed leaf matter to 50 vol% or more of the total of the base soil and the decomposed leaf matter.