In this episode, we explore how artificial intelligence is transforming agriculture through early and accurate plant disease detection. We introduce PhytoLens AI, an India based startup focused on empowering farmers with AI-driven tools that can identify crop diseases in real time using advanced imaging and machine learning.

We dive into the challenges farmers face due to delayed diagnosis, crop loss, and lack of accessible technology—and how AI can bridge this gap. The discussion also covers our innovative approach, including multispectral imaging and scalable solutions that can be integrated with smartphones and drones.

Whether you're a tech enthusiast, researcher, or someone passionate about agriculture, this episode highlights how cutting-edge AI is driving the future of sustainable farming.

www.phytolensai.com

Spatio-temporal Analysis of Electric Field Induced Solid State Reduction Dynamics of Graphene Oxide Thin Films for Controlled Bandgap Modulation

N. Prasad, S. Tanwar, S. Mukhopadhyay and T. Kundu

J. Phys. Chem. C 124, 21874-21885 (2020)

An electric field-induced reduction mechanism studied for tuning the band gap of graphene oxide thin films in a two-electrode configuration on a SiO2/Si substrate is presented. During the reduction, temporal changes in the sheet resistance and optical band gap of the film were monitored and the correlation between these parameters in this solid state chemical reaction was established. As the reduction progresses, three different kinds of temporal dependence of electrical characteristics were observed. Further, from spatio-temporal analysis of the reduction of graphene oxide in such a disordered system, an analytical model was developed to describe the time dynamics of the reduction process. This model provides the flexibility for in situ monitoring the band gap of the material in terms of sheet resistance during the reduction, hence allowing device optimization for different applications. It is envisaged that this reduced graphene oxide-based tunable platform may find enormous potential for various electronic and optoelectronic applications.

“AI Research in Electronics, Healthcare & Agriculture: A Faculty Perspective”

“Hello, I’m Dr. Neetu Prasad, a faculty member and researcher in electronics engineering. My work focuses on integrating artificial intelligence with electronic sensors, nanomaterials, and imaging systems to develop intelligent solutions for healthcare and agriculture.”