先前於9月的台灣智慧農業週，悠由數據受邀「農糧產銷智動化成果發表研討會」，我們很榮幸地與台灣農業部科技司、農試所、以及農業改良場的眾多長官，分享我們與農業部旗下台中區農業改良場攜手合作的研究成果。

本次由DATAYOO創辦人兼執行長吳君孝（Shaw Wu）發表「青花菜產量預測模式的建構與其應用SaaS平台開發」的成功案例！這項創新技術結合了我們公司先進的AI農業數據分析平台「FarmiSpace」，為農業生產提供了精準的分析解決方案，幫助農民及農企業在青花菜的種植和產量管理上做出更精準的判斷。

透過這次的合作，我們成功建立了一套精準的產量預測模式，讓青花菜從種植到收成的每一個環節，都能受到精準的監控與優化。不僅提升了種植效率，還能讓農民即時作出調整，最大化產出與經濟效益。此外，這項技術也透過FarmiSpace管理平台實現了智能化應用，提供農業生產者更便捷的數據管理和決策工具，無論身處何地，皆可即時掌握青花菜生長狀況及產量預測。

這次與農業部研究單位的成功合作，不僅展示了政府單位與新創企業攜手推動智慧農業的巨大潛力，更證明了我們的技術可以實際應用於農業生產中，為現代農業開創全新的智慧未來。我們期待在更多的農作物中應用這一創新模式，持續引領農業進步，幫助現代農業邁向數據化的智能時代！

At the Taiwan SMART AgriWeek in September, DATAYOO presented its collaborative achievement with the Taichung District Agricultural Research and Extension Station (TDARES) at the "Agri-Food Production and Marketing Automation Symposium." CEO Shaw Wu showcased the development of a broccoli yield prediction model integrated with the company’s advanced AI agricultural data analysis platform, FarmiSpace. This technology provides precise analysis solutions, helping farmers and agricultural enterprises make more accurate decisions in broccoli cultivation and yield management, optimizing planting efficiency and maximizing output and economic benefits.

Through this collaboration, a precise yield prediction model was established, enabling every stage of broccoli cultivation, from planting to harvest, to be monitored and optimized. In addition, the technology is implemented through the FarmiSpace management platform, offering agricultural producers more convenient data management and decision-making tools, allowing them to monitor broccoli growth and yield predictions in real time, regardless of location.

This successful collaboration with government research institutions demonstrates the immense potential of public-private partnerships in advancing smart agriculture. It also proves that DATAYOO's technology can be practically applied to agricultural production, paving the way for a new era of data-driven, intelligent agriculture. We look forward to applying this innovative model to more crops, continually driving agricultural progress and supporting the digital transformation of modern agriculture.