The Dawn of Al in Agriculture: From Predictive Analysis to Autonomous Farming

Awais Rasool1 and *Ali Ammar2

1Department of Computer Science, University of Agriculture Faisalabad, 38000, Pakistan 2Department of Plant Breeding and Genetics, University of Agriculture Faisalabad, Pakistan

*Corresponding author: aliammar225@gmail.com

To Cite this Article :

Rasool A and Ammar A, 2023. The Dawn of Al in Agriculture: From Predictive Analysis to Autonomous Farming. Trends in Animal and Plant Sciences 1: 73-83. https://doi.org/10.62324/TAPS/2023.010

Abstract

The agricultural sector is witnessing a paradigm shift with the rise of Artificial Intelligence (AI) technologies. AI holds the potential to revolutionize agriculture by enabling data-driven decision-making, precision farming practices, and automation. This review paper explores the significance of AI in agriculture, highlighting its applications in predictive analysis, precision farming, automation, and robotics. Moreover, it discusses the challenges and limitations that need to be addressed for the successful integration of AI in agriculture. The paper also delves into the future prospects and emerging trends, showcasing the transformative potential of AI in driving sustainable and efficient farming practices. By providing insights into the current state and future directions of AI in agriculture, this review paper aims to shed light on the opportunities and challenges that lie ahead for the agricultural sector in embracing AI-driven innovations.


Article Overview

  • Volume : 1
  • Pages : 73-83