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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

P. Kumaresan

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Open access Sep 2026

Evaluation of AI Predictability on Crop Yield using XAI - An Experimental Approach

This study explores the integration of explainable artificial intelligence (XAI) with machine learning models to enhance transparency in agricultural decision-support systems and provides transparent and reliable insights, supporting data-driven agricultural management and sustainable crop production strategies.

R. Varathan, P. Kumaresan · 0 citations
#explainable ai Open access Sep 2026

Smart crop recommendation: fusing nutrient and climate data with Krill Herd Optimization and explainable AI

A crop recommendation framework in which Multi-Layer Perceptron, XGBoost, and Tab Transformer are first evaluated as baseline prediction models, followed by the proposed Krill Herd Optimization-based explainable framework integrated with Explainable Artificial Intelligence (XAI).

P. Latha, P. Kumaresan · 0 citations

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