Downloads: 7 | Views: 81 | Weekly Hits: ⮙1 | Monthly Hits: ⮙6

Research Paper | Civil and Environmental Engineering | India | Volume 13 Issue 11, November 2024 | Popularity: 5.6 / 10

Rate This Article!      

Artificial Intelligence and Automation in Smart Agriculture: A Comprehensive Review of Precision Farming, All-Terrain Vehicles, IoT Innovations, and Environmental Impact Mitigation

Bhabashankar Sahu

Abstract: With developments in artificial intelligence (AI) and automation, smart agriculture has become a crucial industry. This is because there is an increasing demand for sustainable and effective food production on a global scale. This article offers an in-depth examination of current AI applications in precision agriculture, emphasizing advancements in unmanned and all-terrain vehicles, IoT-based environmental monitoring systems, electrochemical soil analysis, and automated irrigation systems. It analyzes machine learning algorithms and AI vision systems for real-time agricultural management, along with the incorporation of 3D printing and IoT to develop versatile and efficient farming equipment. Also, it investigates the function of AI-generated insights in reducing the ecological consequences of agricultural practices and the promise of biogenic nanoparticles for improved bioinformatics for agriculture. This article offers an in-depth examination of artificial intelligence applications in smart agriculture, emphasizing advancements in precision farming, unmanned vehicles, and IoT for environmental monitoring. The paper discusses machine learning, AI vision systems, and 3D printing applications for efficient agricultural management and evaluates the potential of biogenic nanoparticles in sustainable farming. This review seeks to inform further research by highlighting AI-driven methods and sustainable practices in agriculture, ultimately aiming to improve efficiency, productivity, and environmental outcomes.

Keywords: Smart agriculture, Artificial intelligence, Precision farming, IoT in agriculture, Farm automation, Environmental sustainability in agriculture, Biogenic nanoparticles

Edition: Volume 13 Issue 11, November 2024

Pages: 656 - 665

DOI: https://www.doi.org/10.21275/SR241110184009

Make Sure to Disable the Pop-Up Blocker of Web Browser

Click to Cite this Article