Currently in Taiwan pineapple is a major fresh fruit for export in terms of amount, thus the control and upgrade of fruit quality is essential to the sustainable development of the industry. However, pineapple industry requires large labor input involved with planting, management, flower forcing, harvest and packing. As labor force aged and dwindling, the introduction of automatic and smart techniques is crucial and primary to the key solution of labor shortage. This project aims to develop monitoring system, establishment of database, digital service platform and strengthen fruit selection in packing house. As considering the wide distribution of farmlands in specific regions and demands of environmental monitoring on field practice, the LoRa transmission is integrated with environment monitoring sensor to form the environmental monitoring system. This instrument sends information through LoRa system to reduce the wireless fee and facilitate the build-up of environmental information. This study also includes a database to link the field leaf nutrient status, fruit metabolites, quality, fruit storage capability, with all the analysis results provided to enhance the precision of field management. Furthermore, based on the analysis of database, the biological index to predict storage capability was established to serve for new alternatives of fruit selection in packing house. To upgrade field management, the iPLANT system, information system for accreditation information collection, was introduced to the industry. The system has integrated with expertise know-how to enhance source trace management and warning on abnormal environmental condition. Based on the analysis of characteristics of fruit scrape by spectrum, a multiple spectrum selection has developed to accelerate the rate of fruit scrape identification in packing house. Furthermore, the fruit weight sorting system was added with counting sensor to automatically recording the fruit number in each grade. The records can will be served as fundamental of database related to the fruit yield and quality from each farmlands. Through the application of smart and digital techniques combining with farmers’ field experiences and experts’ advises, we wish to keep on reducing the farmer’ labor and time loading, and production risks, in the meanwhile also, to promote fruit quality and enhance the competitiveness of pineapple industry.