AgrIOT technology aims to contribute to reducing future costs for farmers, while making the identification process more effective and precise and allowing for frequent monitoring of development.
The new technology developed by AgrIOT integrates science and technology and enables the identification of nutrient deficiencies in the three main nutrients essential to plant health (nitrogen, phosphorus and potassium). In this era of technology developments and rising demand for agricultural production, precision farming has become of great interest. As well as its ease of use, AgrIOT technology will contribute to reducing future costs for farmers, while making the identification process more effective and precise and allowing for frequent monitoring of development.
The technology is based on machine learning principles and manages to diagnose the precise shortfall in nutrient uptake on the basis of a simple photograph that can be taken on any smartphone. Plant nutrient deficiency is one of the most challenging and most worrying problems among farmers in Israel and around the world, and existing methodologies are based primarily on a relatively lengthy process of examining plant samples under laboratory conditions and using manual calculations. Use of the innovative application will enable simple, available, immediate and fast identification for farmers.