Building upon previous work on rice and durian cultivation areas from 2025, this current phase extends its scope to six major economic crops across the nation, including maize, cassava, sugarcane, mango, coconut, and longan. The core objectives involve conducting satellite data assessments for ET calculation, developing geospatial models using standard equations like Penman-Monteith and SEBAL, and implementing a robust, dynamic crop water use monitoring and alert system. The technical workflow encompasses data ingestion, cloud masking, gap filling, and model validation with rigorous quality control to deliver high-confidence data for plot-level analysis. Final deliverables include comprehensive reports and source code, designed to support daily monitoring and economic assessments of agricultural water use throughout Thailand.