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Applications Of Ai Bots In Supporting And Publishing Agricultural Research: A Case Study Of Chatgpt And Deepseek

Author

Listed:
  • Mustafa A. J. Al-Sammarraie

    (University of Baghdad, College of Agricultural Engineering Sciences, Baghdad, Iraq)

  • Ali Irfan Ilbas

    (Erciyes University, Faculty of Agriculture, Kayseri, Türkiye.)

Abstract

In light of the rapid growth of artificial intelligence (AI) bots, such as ChatGPT and DeepSeek, solutions have been created to support scientific research, such as agricultural research. The aim of this review is to investigate the possibility for these bots to advance agricultural research by enhancing the quality of the scientific output, optimizing the processing of data, and enabling evidence-based decision-making. The review recognizes that these technologies play a significant role in the analysis of complex agricultural data and facilitation of research output for farmers to understand, with the possibility to transfer knowledge linguistically and culturally. However, the successful adoption of these bots is undermined by technical challenges related to data accuracy and flexibility in local contexts, and ethical challenges related to transparency and accountability. The review examines possibilities for innovation in sector-specific agricultural solutions, enhancing compatibility with agricultural infrastructure and intelligent technologies, and creating working and ethical guidelines that optimize the application of such bots. Investment in this field is really an opportunity to take a quantum step toward agricultural production with environmental sustainability, provided that this is done within an overall vision that reconciles technological potentialities, farm needs, and ethical controls.

Suggested Citation

  • Mustafa A. J. Al-Sammarraie & Ali Irfan Ilbas, 2025. "Applications Of Ai Bots In Supporting And Publishing Agricultural Research: A Case Study Of Chatgpt And Deepseek," Tropical Agroecosystems (TAEC), Zibeline International Publishing, vol. 6(2), pages 48-55, August.
    • Handle: RePEc:zib:zbtaec:v:6:y:2025:i:2:p:48-55
    DOI: 10.26480/taec.02.2025.48.55
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    References listed on IDEAS

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    1. Hertel, Thomas W., 2015. "The Challenges of Sustainably Feeding a Growing Planet," 2015 Conference (59th), February 10-13, 2015, Rotorua, New Zealand 202525, Australian Agricultural and Resource Economics Society.
    2. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
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