Sustainable wheat farming is challenging. Real-time information on crop health, disease transmission, and anticipated yields is essential for farmers. However, they frequently use slow, expensive, or non-communicative tools. This project develops a workable solution. There is no need for massive server farms because th...
Priyanshu Priyadarshi, Ganesh Khekare· Frontiers in Plant Science· 0 citations
Treating prompt design and model selection as coupled decisions rather than independent steps offers a practical path toward lower-cost, higher-accuracy LLM deployment, and the PRCP formulated here provides a reusable framework for studying this coupling in future work.
Shlok Goenka, Ganesh Khekare, Prithu Adhikari et al.· Frontiers in Artificial Inte...· 0 citations
The quantitative results show the effectiveness of zero-shot semantic LLM orchestration compared to other LLM controllers with heuristic rules and paves the way for traffic management to move beyond black-box numerical paradigms and into explainable decision-making.
Gaurav Soni, Ganesh Khekare, Yash Kumar et al.· Frontiers in Artificial Inte...· 0 citations
The presented framework manages to incorporate explainable scoring, convergence of behavior analysis, adaptive control, environment mutation, and reinforcement learning into one cyber deception framework and manages to incorporate all of these features while still preserving transparency and adaptability during the who...
S. Roy, G. Khekare, Sejal Chhajed· Scientific Reports· 0 citations
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