From Knowing how to farm to Understanding Data - The Reengineering of Farmers' Skills and Rural Development in the Context of Smart Agriculture

Authors

DOI:

https://doi.org/10.65455/aair5911

Keywords:

AI + Agriculture Data, Analysis Internet of Things, Artificial Intelligence, Agriculture Information

Abstract

With information technology widely applied to agriculture sector, intelligent agriculture has become a new trend of modern agriculture. In this paper, we explore the framework, design and application of smart agricultural data analysis system. With the integration of Internet of Things, Big Data and Artificial Intelligence, this system provides precise decision support to farmers in agricultural production, optimizing agricultural production process, increasing agricultural production efficiency and product quality. In this paper, the overall design, every level design, database design, security design, main functions are elaborated in detail. The validity of this system has been verified by an actual application case. With the development of technology and development of agriculture information system, it is expected that smart agricultural data analysis system will play an important role in broader agriculture scenarios.

References

[1]DHANARAJ K R, MARAGATHARAJAN M, SURESHKUMAR A, et al. On-device AI for climate-resilient farming with intelligent crop yield prediction using lightweight models on smart agricultural devices. Scientific Reports, 2025, 15(1): 31195.

[2]NAVEED S, REHMAN U M, SHAH A M, et al. AgriSage: Android-Based Application for Empowering Farmers With E-Commerce and AI-Driven Disease Detection. Engineering Reports, 2025, 7(8): e70342.

[3]DING Z, LIU K, GRUNWALD S, et al. Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process-Based and Hybrid Modelling Approaches. Advanced Science, 2025, 12(31): e04152.

[4]TANG J, DU T, WU R, et al. Research on Strategies for Empowering Rural Revitalization through Digital Farming Supported by AI Technology. Scientific and Social Research, 2025, 7(7): 372-378.

[5]ERIKE A, IKERIONWU C, AZUBOGU A, et al. Is AI for illiterate farmers? A systematic literature review of AI and machine learning applications and challenges for precision agriculture. Discover Artificial Intelligence, 2025, 5(1): 204.

[6]DEOKULE N, KALE G. Explainable AI Models for Blueberry Yield Prediction: A Step Towards Trustworthy Precision Agriculture. IAENG International Journal of Computer Science, 2025, 52(7): 428-430.

[7]XU L, MAO K, GUO Z, et al. Analysis of Spatiotemporal Characteristics of Global TCWV and AI Hybrid Model Prediction. Hydrology, 2025, 12(8): 206.

[8]NANDEHA N, TRIVEDI A, ADAWADKAR M, et al. Review on IoT, Remote Sensing, GIS and AI for Climate Smart Agriculture. Journal of Experimental Agriculture International, 2025, 47(6): 784-793.

[9]RAY K R, TIWARI A. Optimization of Dimensional Factors Using AI Technique Affecting Solar Dryer Efficiency for Drying Agricultural Materials. Computers, Materials & Continua, 2025, 83(1): 845-860.

[10]BOURRIZ M, HAJJI H, LAAMRANI A, et al. Integration of Hyperspectral Imaging and AI Techniques for Crop Type Mapping: Present Status, Trends, and Challenges. Remote Sensing, 2025, 17(9): 1574.

[11]DEVARAJAN Y. Investigation of Emerging Technologies in Agriculture: An In-depth Look at Smart Farming, Nano-agriculture, AI, and Big Data. Journal of Biosystems Engineering, 2025, 50(2): 1-23.

[12]KAUSHIK I, PRAKASH N. An AI-blockchain-assisted smart agriculture framework for enabling secure and efficient data transaction: a hybrid approach. Knowledge and Information Systems, 2025: 1-49.

[13]MALINAS D C, MATEI F, POP D I, et al. Individual and Synergistic Contributions of GIS, Remote Sensing, and AI in Advancing Climate-Resilient Agriculture. AgriEngineering, 2025, 7(7): 230.

[14]GUPTA G, PAL K S. Applications of AI in precision agriculture. Discover Agriculture, 2025, 3(1): 61.

[15]BATISTATOS C M, COLA D T, KOURTIS A M, et al. AGRARIAN: A Hybrid AI-Driven Architecture for Smart Agriculture. Agriculture, 2025, 15(8): 904.

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Published

2025-09-15