International Research Journal of Education and Technology

With the incorporation of both AI technologies and easy-to-use UI and UX components, AgriVision transforms the agricultural management landscape. The dataset provided below demonstrates the features of the app such as irrigation and fertilization, condition of the soil, pests and weather notifications, diseases and weeds recognition, and water table control. With its integrated approach, AgriVision assists farmers in ways, which include increasing agricultural productivity, as well as supporting the efficient usage of available resources and sustaining the environment.

The app stands out with soil condition assessment where it tests pH, nutrient and org matter levels and offers recommendations on crop care. This is supported by periodic conditions which evolve to accommodate the evolving soil condition to promote the growth and productivity of crops.. The research in this present context offers a full data set derived from the real-world application of AgriVision.

Key Words: AgriVision, Agriculture, Artificial Intelligence application for crops, datasets, crop observation