Anhui University

Henan Agriculture University

Computers and Electronics in Agriculture provides international coverage of advances in the application of computer hardware, software and electronic instrumentation and control systems to agriculture, forestry and related industries. The latter include horticulture (in both its food and amenity aspects), forest products, aquaculture, animal/livestock science, veterinary medicine and food processing.The journal publishes original papers, reviews, applications notes and book reviews on topics including computerized decision-support aids (e.g., expert systems and simulation models) pertaining to any aspect of the aforementioned industries; electronic monitoring or control of any aspect of livestock/crop production (e.g. soil and water, environment, growth, health, waste products) and post-harvest operations (such as drying, storage, production assessment, trimming and dissection of plant and animal material). Relevant areas of technology include artificial intelligence, sensors, machine vision, robotics and simulation modelling.

Computers and Electronics in Agriculture

Detection of wheat scab fungus spores utilizing the Yolov5-ECA-ASFF network structure

Segmentation of wheat scab fungus spores based on CRF_ResUNet++

Wheat Fusarium Head Blight Automatic Non-Destructive Detection Based on Multi-Scale Imaging: A Technical Perspective

Elsevier BV

Meanwhile, the spore images collected by microscopy have trouble with uneven brightness, low background contrast, and spore adhesion. Zhang et al. [28] segmented pixels of FHB spores in challenging circumstances, such as when they contain independent and interadherent spores. This method has demonstrated excellent computer vision processing capabilities in tackling issues related to false and missed detection of attached spore images, and rough contours, increasing the overall segmentation and integration ratio of wheat FHB spore to 94.3%. 

As shown in Figure 1, with the rapid development of imaging platforms such as microscopes [24], drones [25], and remote sensing satellites [26], automatic wheat FHB detection has obtained more multi-scale images with rich experimental and application value. According to the differences between each imaging scale, this paper divided them into 'microscopic scale' (scale range is very small, such as cells, molecules, etc.), 'medium scale' (scale range is between microscopic and submacroscopic scale, such as crop organs, single grain, individual plant, etc.), 'submacroscopic scale' (scale range can be from several meters to thousands of meters, such as experimental fields, large planting areas, etc.), and 'macroscopic scale' (largest scale range, such as ecosystem, earth, etc.), in order to clarify the technical scope for subsequent discussions. 

Wenhao Zhang's scientific contributions

What is this page?

Publications (2)

Citations (2)