Advanced Technologies and AI-Enabled IoT Applications in High-Tech Agriculture

Advanced Technologies and AI-Enabled IoT Applications in High-Tech Agriculture

Tarun Kumar Vashishth, Vikas Sharma, Sachin Chaudhary, Rajneesh Panwar, Shashank Sharma, Prashant Kumar
Copyright: © 2023 |Pages: 12
DOI: 10.4018/978-1-6684-9231-4.ch008
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Abstract

This chapter will explore the various advanced technologies and AI-enabled IoT applications that are being used in high-tech agriculture today. The authors examine how these technologies are being used to improve soil health, manage pests and diseases, monitor crop growth, and optimize irrigation systems. The chapter will also examine the impact of these technologies on the environment and the economic implications of their adoption. They analyze case studies of farms that have successfully implemented these technologies, and the impact they have had on their productivity and profitability. The proposed approach focuses on integrating IoT-enabled sensors and devices into agricultural practices to collect data on crop growth, soil moisture, weather conditions, and other relevant factors. This data is then analysed using machine learning algorithms to provide insights and recommendations for farmers to optimize crop yields, reduce water usage, and minimize the use of harmful chemicals.
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1. Introduction

Agriculture is a vital sector that supports the world's growing population and provides essential resources for our daily lives. However, traditional farming practices are increasingly unsustainable due to population growth, climate change, and resource constraints. To address these challenges, a novel approach has emerged that leverages advanced technologies and AI-enabled IoT applications in high-tech agriculture. This approach combines the power of artificial intelligence, the internet of things, and precision agriculture techniques to optimize crop production, reduce environmental impacts, and enhance resource management. By incorporating sensors, drones, robotics, and machine learning algorithms, farmers can obtain real-time data on soil moisture, temperature, humidity, and other key parameters, allowing them to make informed decisions on irrigation, fertilization, and pest management. This approach has enormous potential to revolutionize traditional farming practices and enable farmers to achieve higher yields, better crop quality, and improved profitability. This article will explore the benefits and future scope of using advanced technologies and AI-enabled IoT applications in high-tech agriculture.

1.1 Agriculture

Agriculture is the practice of cultivating land, raising animals, and producing food, fiber, and other products. It is the foundation of human civilization, and it has been practiced for thousands of years. Agriculture involves a variety of activities, including planting and harvesting crops, raising livestock, and managing natural resources such as soil and water. Modern agriculture has become highly specialized and is often associated with large-scale farming operations that use advanced technologies, such as genetically modified crops, precision irrigation systems, and automated machinery. However, small-scale and traditional farming practices are still prevalent in many parts of the world. Agriculture is essential for food security and the sustainable development of communities. It also plays a vital role in the global economy, providing employment opportunities and contributing to international trade. However, modern agricultural practices can have negative impacts on the environment, such as soil erosion, water pollution, and the destruction of natural habitats. As such, sustainable agriculture is increasingly being promoted to ensure that the world's agricultural systems are both productive and environmentally sound.

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