AI IN AGRICULTURE: A LOOMING CHALLENGE, A GLEAMING OPPORTUNITY

Authors

  • Sanjeev Aggarwal
  • Sandhya Bansal
  • Rajeev Goel

Keywords:

Collaborative, global agricultural, change-induced, environmental

Abstract

As the global population burgeons, reaching an estimated 10 billion by 2050, the agricultural sector faces immense pressure to enhance productivity and sustainability Facing these challenges, the incorporation of artificial intelligence (AI) shows great potential for transforming farming methods This comprehensive review explores the multifaceted role of AI in agriculture, highlighting its opportunities, challenges, and pathways towards building resilient and sustainable food systems. From precision farming and crop health monitoring to predictive analytics and agricultural robotics, AI offers transformative solutions to address pressing agricultural challenges. Yet, integrating AI into agriculture faces challenges like accessibility, data privacy, and skills training. Collaborative efforts and strategic interventions can overcome these hurdles, unleashing AI's potential to secure food, combat climate change, and foster inclusive agricultural growth.

References

Cervigni, R., & Morris, M. (Eds.). (2016). Confronting drought in Africa's drylands: Opportunities for enhancing resilience. World Bank Publications.

Dharmaraj, V., & Vijayanand, C. (2018). Artificial intelligence (AI) in agriculture. International Journal of Current Microbiology and Applied Sciences, 7(12), 2122-2128.

Bannerjee, G., Sarkar, U., Das, S., & Ghosh, I. (2018). Artificial intelligence in agriculture: A literature survey. International Journal of Scientific Research in Computer Science Applications and Management Studies, 7(3), 1-6.

Vincent, D. R., Deepa, N., Elavarasan, D., Srinivasan, K., Chauhdary, S. H., & Iwendi, C. (2019). Sensors driven AI-based agriculture recommendation model for assessing land suitability. Sensors, 19(17), 3667.

Sharma, R. (2021, May). Artificial intelligence in agriculture: a review. In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 937-942). IEEE

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How to Cite

Sanjeev Aggarwal, Sandhya Bansal, & Rajeev Goel. (2024). AI IN AGRICULTURE: A LOOMING CHALLENGE, A GLEAMING OPPORTUNITY. International Journal of Engineering Science & Humanities, 1(1), 43–52. Retrieved from https://www.ijesh.com/j/article/view/358

Issue

Section

Original Research Articles

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