Explainable artificial intelligence (XAI) is increasingly important in scientific and engineering applications where predictive performance alone is insufficient and model outputs must also be physically credible, transparent, and reliable under unseen conditions. This study proposes a domain-informed XAI framework for...
A. Baghbani, A. Shah, H. Abuel-Naga· Algorithms· 0 citations
An experiment on “Effect of different sources of nutrients on the growth and yield of Rice (Oryza sativa L.)’’ was carried out during Kharif season of 2025-26 at the Crop Research Station, Acharya Narendra Deva University of Agriculture and Technology, Ayodhya (U.P.) India. The experiment consisting of eight treatments...
An experiment on “Response of Integrated Nutrient Management on Nutrient Uptake, Growth and Yield of Wheat (Triticum aestivum L.)’’ was carried out during rabi season of 2025-26 at the Crop Research Station, Acharya Narendra Deva University of Agriculture and Technology, Ayodhya (U.P.) India. The experiment consists of...
