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
- Dr Anil A R, Amit Sankar Arun, Anandhu Anilkumar, Anandu S Sivan, Anoop Manoharan, DESIGNING OF A VOICE – BASED PROGRAMMING IDE FOR SOURCE CODE GENERATION , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Minu Cherian, Elzabeth Bobus, Bala Susan Jacob, M Annapoorna, Ashwin Mathew Zacheria, Empowering Laptop Selection with Natural Language Processing Chatbot and Data Driven Filtering Assistance , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jefrin Siby Mathew, Joyal Joseph, Roshik George, Tinu Rose Thottungal , Honey Joseph, Multiple Disease Detection using Machine Learning , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Raihana Rasaldeen, Stefi Marshal Fernandez, Irin Rose Jaison, Ria Mariam , A Comparative Study of AI Models and AI-Based Approaches for Evaluating Subjective Answers in Exams , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Lis Jose , Achyuth P Murali, Christin Joseph Shaji, Christy Kunjumon Peter , Multiple Detection and Diagnosis of Skin Diseases using CNN , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- V Amarjith, Anaswara Anil, Anju Viswam, KM Aravind, Multilingual Hardcoded Subtitle Extractor , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Aksa Ann Jacob, Midhun P Mathew, Adarsh S, Aaron Tom Viji, Aleena Varghese, A STUDY ON DISEASE DETECTION AND REMEDY IDENTIFICATION IN LEAVES , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Muhammed Saalim O.S, Fathima Parvin M.A, Albiya Hameed, Hiba Fathima T.S, Amritha Soloman, AGRISEN Precise irrigation System and Smart health monitoring system , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Adona Shibu, Aarunya Retheep, Albin Joseph, Ali Jasim, Adona Shibu , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Parvathy S Pillai, Pooja Rajeev, Sania Regi, Parvathy S Nair, Dr. Therese Yamuna Mahesh, Agi Joseph George, SMART TROLLEY: A MORE ENHANCED SHOPPING EXPERIENCE , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
You may also start an advanced similarity search for this article.