University of Idaho
Team PAIR has developed Krishi-Bot to automate soil-water and petiole sampling while conducting plant phenotypic data collection and field surveillance, in order to derive real time insights for improving agricultural efficiency and sustainability.
The design multiple elements including a a mobile microclimate sensor, Soil Sampling Mechanism, Leaf Sampling Mechanism, High-throughput Imaging System, Sample Containment & Labeling device, and real-time data transmission with remote dashboard to provide farmers the ability to monitor conditions and receive insights from Krishi-Bot.
Farmers need to efficiently monitor and manage the health of crops to ensure high yields, but the current methods of data collection and stress detection are time-consuming, labor-intensive, and often lack precision and are prone to human error. Moreover, manual sampling and traditional lab testing techniques do not provide real-time insights.