Satellite image analysis integrated with AI algorithms can be used to assess and understand agricultural production and pattern in order to guide users about famine, maximize market returns for smallholders, and develop tailored insurance policies to mitigate the impacts of crop failures. Today, we can leverage AI and geospatial technology to predict crop yield and monitor crop health as well, that aims to help users improve their crop yield and to reduce costs. Based on our observation most popular solutions of AI are categorised as:
Everyone who needs agri-related intelligence can be a potential customer
like insurers, market research firms and farmers of-course.
Defense agencies acquire enormous amounts of visual surveillance data a day from various sources and hence the challenge remains is not collecting the data, but processing it for strategic information, and this is where machine vision and AI could be of use. AI based analytics, therefore, helps defense leaders make better decisions. Few use cases.