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This study explores the impact of Fin-Tech-Driven Smart Farming and Crop Management for Cost-Effective Sustainable Growth. The main objective is to evaluate how crop monitoring and management, smart irrigation, and autonomous equipment with Fin-tech influence sustainability. Additionally, the research aims to quantify the overall effect of these technologies on sustainable development. Data was collected through a structured questionnaire and random sampling, with 232 responses analyzed using the Smart PLS—Structural Equation Modeling (SEM) method. The results reveal that 86.9% of the variation in cost-effectiveness for sustainable growth can be attributed to endogenous variables, namely, autonomous equipment, smart irrigation, and crop monitoring and management. The findings verify that each variable significantly predicts sustainable growth.

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Influence of FinTech-Driven Smart Farming and Crop Management on Cost-Effective Sustainable Growth

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  • 发表日期：

    2026年

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  • Asha Sharma,
  • Aditya Mishra

摘要

This study explores the impact of Fin-Tech-Driven Smart Farming and Crop Management for Cost-Effective Sustainable Growth. The main objective is to evaluate how crop monitoring and management, smart irrigation, and autonomous equipment with Fin-tech influence sustainability. Additionally, the research aims to quantify the overall effect of these technologies on sustainable development. Data was collected through a structured questionnaire and random sampling, with 232 responses analyzed using the Smart PLS—Structural Equation Modeling (SEM) method. The results reveal that 86.9% of the variation in cost-effectiveness for sustainable growth can be attributed to endogenous variables, namely, autonomous equipment, smart irrigation, and crop monitoring and management. The findings verify that each variable significantly predicts sustainable growth.