E-Hull is a crop suggestion system that uses soil data to make recommendations. It analyzes soil type, pH, nutrient levels, weather patterns, and other factors. It uses algorithms and machine learning to determine the best crops to grow in a specific location. A farmer inventory management system that uses AI to optimize crop production and storage. It tracks crop yields, manages inventory and forecasts market demand. It helps farmers to increase efficiency and plan ahead, by having a better control over their inventory and resources E-Hull crop optimization system that uses AI and image recognition to suggest fertilizers and pesticides to farmers. It takes into account various factors such as soil data, weather patterns, and crop growth status to suggest the most suitable fertilizers and pesticides to ensure optimal crop yield. It also uses image recognition to detect any potential pest infestations and suggests the appropriate pesticides to eliminate them. The system uses machine learning to constantly update and improve its suggestions for farmers to use.

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