A new generation of computer vision, namely event-based or neuromorphic vision, provides a new paradigm for capturing visual data and the way such data is processed. Event-based vision is a state-of-art technology of robot vision. It is particularly

To explore the diurnal variations, radiometric and geometric accuracy of UAV-based data for precision agriculture, a comprehensive dataset was created in a one-day field campaign (21 June 2017). The multi-sensor data set covers wheat, barley & potato

Agriculture plays the major role in economics and survival of people in India. The purpose of this project is to provide embedded based system for soil monitoring and irrigation to reduce the manual monitoring of the field and get the information via

This is an open source application to water plants automatically. Up to now there is almost no free professional software and instructions available to build a DYI irrigation that is scalable, accurate and most importantly, durable. The app is also n

Ycenter Shambah Solutions innovates climate-smart agronomy for small and medium-scale farmers, leveraging IoT soil devices and AI-driven advisory recommendations. Farmers access rapid soil testing and tailored advice within 15 minutes through local a

The project aims at making use of evolving technology i.e. IoT and smart agriculture using automation. Monitoring environmental factors are the major factor to improve the yield of efficient crops. The feature of this project includes monitoring temp