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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Agroforestry systems 44 (1998), S. 141-149 
    ISSN: 1572-9680
    Keywords: ash ; maple ; poplar ; soil macro-fauna
    Source: Springer Online Journal Archives 1860-2000
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: Abstract Earthworms are known to increase soil bulk density, soil porosity, mixing of organic matter, and to strengthen aggregation of soil particles. They perform important functions in the maintenance and stabilization of the soil matrix. Historically, temperate intercropping research has focused on the above-ground benefits of adding trees into the agricultural landscape. Earthworm research in temperate intercropping systems has been non-existent to date. More emphasis on studying below-ground components, such as earthworms, is required in order to better understand the mechanisms of intercropping ecosystem function. The purpose of this study was to examine seasonal changes in distribution and abundance of earthworms under a temperate intercropping system in southwestern Ontario, Canada. Sampling occurred during the spring and summer of 1997 at the University of Guelph's Agroforestry Research Station, Guelph, Ontario. Earthworm samples were collected at various distances from the tree rows. Significant variation in both earthworm biomass and density were found between the three tree species sampled. Total mean earthworm density was 182 m-2 within the poplar rows, 71 m-2 within the silver maple rows, and 90 m-2 within the white ash rows. A marked difference was also observed in the distribution of earthworms within the tree rows and the field area. For example, total mean density within the tree rows for poplar was 182 individuals m-2, as compared to total mean densities of 117 and 95 individuals m-2, two metres and six metres into the field from the tree, respectively.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2020-07-16
    Description: Strawberry cropping system relies heavily on proper disease management to maintain high crop yield. Powdery mildew, caused by Sphaerotheca macularis (Wall. Ex Fries) is one of the major leaf diseases in strawberry which can cause significant yield losses up to 70%. Field scouts manually walk beside strawberry fields and visually observe the plants to monitor for powdery mildew disease infection each week during summer months which is a laborious and time-consuming endeavor. The objective of this research was to increase the efficiency of field scouting by automatically detecting powdery mildew disease in strawberry fields by using a real-time machine vision system. A global positioning system, two cameras, a custom image processing program, and a ruggedized laptop computer were utilized for development of the disease detection system. The custom image processing program was developed using color co-occurrence matrix-based texture analysis along with artificial neural network technique to process and classify continuously acquired image data simultaneously. Three commercial strawberry field sites in central Nova Scotia were used to evaluate the performance of the developed system. A total of 36 strawberry rows (~1.06 ha) were tested within three fields and powdery mildew detected points were measured manually followed by automatic detection system. The manually detected points were compared with automatically detected points to ensure the accuracy of the developed system. Results of regression and scatter plots revealed that the system was able to detect disease having mean absolute error values of 4.00, 3.42, and 2.83 per row and root mean square error values of 4.12, 3.71, and 3.00 per row in field site-I, field site-II, and field site-III, respectively. The slight deviation in performance was likely caused by high wind speeds (〉8 km h−1), leaf overlapping, leaf angle, and presence of spider mite disease during field testing.
    Electronic ISSN: 2073-4395
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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