Yield prediction and optimization of groundnut (

\nThis study explores the impact of multiple cropping on groundnut (Arachis hypogaea L.) yield when intercropped with corn (Zea mays L.) at different ratios (1:1 and 1:2) compared to sole cropping. The study aimed to evaluate yield differences and the correlation between yield and morpho-agronomic traits. The experiment was conducted over two growing seasons (2022-2023) at the Agricultural Research Station. Results indicated that intercropping significantly reduced groundnut yield due to resource competition, with yields of 67.5 grams per plant in the 1:1 ratio and 70.6 grams in the 1:2 ratio, compared to 119.2 grams in sole cropping. Correlation analysis showed that yield was positively associated with pod number and fresh biomass but negatively correlated with leaf count. A predictive model for groundnut yield (2024-2026) was developed and validated, showing no significant difference between predicted and actual yields. The findings suggest that the 1:1 ratio is more effective in maintaining yield under multiple cropping systems and optimizing intercropping strategies to enhance agricultural productivity.\n