IoT, AI, and Robotics Applications in the Agriculture Sector

IoT, AI, and Robotics Applications in the Agriculture Sector

Copyright: © 2024 |Pages: 30
DOI: 10.4018/979-8-3693-3583-3.ch014
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

This chapter explores the transformative impact of internet of things (IoT), artificial intelligence (A.I.), and robotics in modern agriculture. By addressing challenges such as climate change, water scarcity, and labor shortages, these technologies have revolutionized farming practices, enabling precise monitoring of crops, data-driven decision-making, and increased operational efficiency. The integration of advanced A.I. algorithms and robotic systems has led to optimized resource utilization, reduced environmental impact, and enhanced sustainable practices. However, challenges such as cost, data security, and adoption barriers must be addressed to fully realize the potential of these technologies. The chapter also highlights future trends and areas for research and development, emphasizing the potential for further innovation and sustainable farming practices in the agriculture sector.
Chapter Preview
Top

Introduction

Agriculture is the backbone of the global economy, providing food, fiber, and fuel for the world's population. However, the industry faces numerous challenges such as climate change, water scarcity, labor shortages, and the need to increase productivity to feed a growing population.

These challenges have led to the adoption of innovative technologies such as Internet of Things, Artificial Intelligence, and Robotics in the agriculture sector. These technologies have the potential to transform farming practices, improve efficiency, and address the challenges faced by the industry.(Ratnaparkhi et al., 2020)

The integration of technology in modern agriculture has revolutionized the way farming is carried out, addressing key challenges and paving the way for sustainable and efficient practices. IoT has enabled the collection of real-time data from agricultural fields, allowing for precise monitoring of crops, soil conditions, and weather patterns. This data-driven approach enhances decision-making processes and resource allocation, leading to optimized yield and resource efficiency. A.I. algorithms analyze the vast amount of data collected through IoT devices to provide actionable insights. This enables farmers to make informed decisions regarding crop management, disease detection, and yield forecasting, ultimately minimizing waste and maximizing productivity. Robotic applications such as automated harvesting, precision planting, and autonomous crop maintenance have addressed labor shortages and increased operational efficiency.(Khan et al., 2021) By taking on repetitive and labor-intensive tasks, robotics free up human labor for more strategic and skilled roles within the agricultural process. The role of technology in modern agriculture is clear: to overcome challenges, increase productivity, and ensure sustainable practices for the future. As these technologies continue to evolve, their impact on the agriculture sector is poised to further enhance global food production while addressing environmental and socio-economic concerns.(Gowda et al., 2021)

In this chapter, we will delve into the specific objectives of integrating IoT, A.I., and Robotics in the agriculture sector. Our focus will be on:

  • 1.

    Understanding the potential impact of IoT, A.I., and Robotics on addressing challenges such as climate change, water scarcity, and labor shortages in agriculture

  • 2.

    Exploring the benefits of real-time data collection and monitoring using IoT devices for precise decision-making and resource allocation.

  • 3.

    Analyzing how A.I. algorithms provide actionable insights for crop management, disease detection, and yield forecasting, leading to minimized waste and increased productivity.

  • 4.

    Examining the role of robotics in addressing labor shortages and increasing operational efficiency through automated processes such as harvesting, planting, and maintenance.

  • 5.

    Discussing the future prospects and evolving impact of these technologies on global food production and sustainable agricultural practices.

  • 6.

    Through these objectives, we aim to provide a comprehensive understanding of how the integration of IoT, A.I., and Robotics can revolutionize the agriculture sector, ultimately contributing to global food security and sustainable farming practices.

Complete Chapter List

Search this Book:
Reset