Data-Driven Decision-Making in Agritech
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V3I2P110Keywords:
Data-Driven Agriculture, Precision Farming, Smart Farming, Agricultural Analytics, Big Data in Agriculture, IoT in Agritech, Farm Management Systems, Crop Yield Prediction, Data-Driven Decision Support, Remote Sensing in AgricultureAbstract
The digitalization of the agricultural industry has reached an unprecedented level due to the integration of data analytics, AI, and IoT technologies in the industry. With the increased accessibility of real time data for farming operations, numerous opportunities exist to develop yield forecasts, predictive models and optimize the use of resources through the use of real time data. This study examines how data-driven decision-making (DDDM) frameworks for the agritech sector, which integrate big data analytics with precision farming, will reshape the agritech sector. The study reviews existing research and policy documents that were produced prior to June 2022. Specifically, the study identifies key applications of machine learning, data visualization and predictive analytics within decision-making frameworks for agriculture. The study proposes a conceptual model that links data collection, model creation and actionable insights to create enhanced agricultural results. The study found that DDDM not only enhances agricultural productivity but also contributes to sustainable agricultural practices through improved resource utilization and the ability to address climate-related issues. Further, the study identified that DSS and business analytics tools support farmers and policymakers in making timely and informed decisions related to their farm and agricultural policies. The study concludes that for DDDM to be effectively implemented requires technological integration, collaborative institutions and the development of digital competencies. Ultimately, the study demonstrates the potential of data analytics to transform agriculture into a smart, adaptable and sustainable sector capable of addressing global food security concerns
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References
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