Authors - Muhammad Sohaib Ayub, Sikandar Bakhat, Mian Muhammad Awais, Umair ul Hassan Abstract - Smallholder farmers in Pakistan make irrigation, fertiliser, and crop-selection decisions largely on inherited practice rather than field-specific evidence, even though the satellite data needed to inform those decisions is now free and globally available. This paper presents the Agriculture Portal, a role-based web platform that turns raw Sentinel2 imagery into decision-ready guidance for farmers and the extension officers who support them. The system computes NDVI, EVI, NDMI, NDWI, and a radar vegetation proxy from Sentinel-2 surface reflectance through Google Earth Engine, complements them with ground-deployed IoT sensors and an AI land classifier, then fuses the signal through an ensemble of the Analytic Hierarchy Process, fuzzy TOPSIS, and VIKOR into two scores: a Crop Health Index describing vegetation vigour and a Soil Suitability Index describing cultivation potential. A fixed agronomic normalisation scheme prevents the degenerate behaviour that field-relative normalisation produces over spatially uniform plots. Beyond the satellite layer, extension officers can author standardised crop advisories and farmers can log field activities against them, with the portal automatically generating a compliance report that surfaces the gap between guidance and practice. Field trials across cultivated and forested sites in Pakistan confirm that the dual-score design correctly separates vegetation vigour from cultivation suitability and that the compliance tracker correctly reconciles recommended and logged activity.
