Computer vision for agriculture

  • How can computer vision be used in agriculture?

    Benefits: UAVs equipped with extensively trained computer vision models are the key to smart farming as they carry out processes such as vegetation classification and segmentation, crop counting, yield monitoring and prediction, crop mapping, weed identification, and disease and nutrient shortage detection.Mar 22, 2023.

  • What are the applications of machine vision in agriculture?

    The agricultural sector has witnessed a lot of contributions when it comes to artificial intelligence (AI) and computer vision in areas like plant health detection and monitoring, planting, weeding, harvesting, and advanced analysis of weather conditions..

  • The machine vision system can capture various information of food including size and dimensions, appearance and shape, and surface color, etc.
    It can accurately capture the detailed information of food products, improve the accuracy of monitoring and monitor food processing with limited human errors (7).

Why are image processing and computer vision applications important in agriculture?

In agriculture is noteworthy that image processing and computer vision applications have grown due to reduced equipment costs, increased computational power, and increasing interest in non-destructive food assessment methods ( Mahajan et al., 2015 ).


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