The present study focussed on the intervention of the most appropriate drying technology and mathematical modelling of drying behaviour for value addition of the most popular product-grown Pineapple (Ananas comosus) in the North-East States of India. The drying experiment was carried out with 5 mm thick pineapple slices loaded into four bottoms trays at three different temperatures of 55, 65, and 75oC in a cost-effective solar biomass hybrid drying system developed at Assam University (India). The experimental data were fitted into nine semi-theoretical thin-layer drying models to forecast drying parameters and the material's behaviour under various environmental conditions. The goodness of fit was assessed using the reduced chi-square,residual sum square, and coefficient of determination (R2). The drying kinetics of pineapple slices revealed a significant effect of these drying temperatures, where moisture content decreased exponentially as the drying time progressed at all drying air temperatures. The Modified Henderson & Pabis model fitted best at 55oC, While Wang & Singh's model fitted best at 65 and 75oC. The initial moisture content of 85% (w.b) of pineapple slices was reduced to 17.75% (w.b) in 8.5 hours of effective drying at 55oC, 19.09% (w.b) in 6.5 hours of effective drying at 65o C; 15.11% (w.b) in 4.5 hours of effective drying at 75oC. The effective moisture diffusivity also predicted a lower value of 9.701510-7 at a lower temperature of 55oC and a higher value of 2.025810-6 m2s-1 at 75oC, which implies the effectiveness of the selected drying temperature-time combination for drying pineapple and reduction of drying costs by solar biomass hybrid drying system.