A Review on Prompt Engineering in Agriculture
Abstract
The integration of Artificial Intelligence (AI) in agriculture is transforming farming practices by enhancing productivity, sustainability, and decision-making. A critical aspect of this transformation is prompt engineering—the art of crafting effective input prompts to guide large language models (LLMs) such as ChatGPT, Bard, and Claude in generating tailored and actionable outputs. This review paper presents an extensive analysis of prompt engineering techniques in agriculture, detailing advanced methods (few-shot, chain-of-thought, role based, and dynamic prompting), practical applications across crop management, soil analysis, pest control, and supply chain optimization, as well as integration with emerging technologies like IoT, blockchain, and robotics. We also discuss global case studies, challenges (data quality, economic constraints, ethical issues), and future prospects. The review integrates foundational articles from Intellias, Medium, and MDPI alongside additional scholarly sources to provide a holistic view of the field.
Keywords:
Blockchain, Prompt Engineering, Artificial Intelligence, Agriculture, Large Language Models, Precision Farming, Iot
Published
Issue
Section
License
Copyright (c) 2025 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Manjima M A, Soumya Anand, Partial Replacement of bitumen by Plant Polymer Lignin in Bituminous Pavement , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Adhil Salim, Advaith Manoj, Alan Thomas Shaji, The Future of Encryption in the Face of Advancing Quantum Computing Technology , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Ankith Issac Dominic, Meera Johnson, Jaida Fathima, Alaina Benny, Amritha Soloman, PARK-EZE: An IoT based Smart Parking System using DLSTM Prediction , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Biffin Francis Binson, Don Joseph, Ezra Tom George, REALSPACE , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Peter Cyriac, Binu B. R., An Integrated Approach to Campus Water Management: Leveraging Wireless Automation and Advanced Virtual Leakage Auditing , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- C P Athira, Fathima Sithara P.A, HAND GESTURE BASED HOME AUTOMATION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- K Sooraj, Yasim Khan M, A High Speed Low Power 10T SRAM with high Robustness , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Aswathy S, Liyan Grace Shaji, "A Multimodal Framework For Anaemia Screening Using Images And Clinical Features: A Comprehensive Survey And Methodological Proposal" , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Jibin Jacob, Joel John, John Ashwin Delmon, Farhan Zuhair, Sinciya P.O, LOCAL WANDERER , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Niya Joseph, Tintu Alphonsa Thomas, A Systematic Review of Content-Based Image Retrieval Techniques , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.