28Application of AI and IoT in Agriculture

RASHMI SINGH

Amity Institute of Applied Sciences, Amity University Uttar Pradesh Noida, India

Email: rsingh7@amity.edu

Abstract

Artificial intelligence (AI)-enabled technologies predict weather conditions, analyze the sustainability of crops, and inspect farms for the presence of diseases or pests, as well as for the existence of inadequate plant nutrition on farms, using data such as temperature, precipitation, wind speed, and solar radiation captured by satellites and drones and machine learning algorithms. Farmers who do not have internet access may nevertheless reap the advantages of artificial intelligence by using essential technologies such as an SMS-enabled phone and the sowing app. While this is happening, farmers with Wi-Fi connectivity may utilize AI programs to acquire a constantly updated AI-customized plan for their lands. Farmers can fulfill the world’s need for more food by using IoT and artificial intelligence-driven solutions that allow them to boost their output and earnings while not depleting vital natural resources.

Keywords: 5G, wireless technology, network architecture and protocols

28.1 Agricultural Process

The agricultural process may be categorized into the following distinct components (see Figure 28.1):

A flowchart illustrates seven stages of farming. Soil preparation with a tractor in a field. Seed sowing with manual seed planting. Irrigation with water hose dispensing water to crops. Adding fertilizers by crop spraying. Weed control by manual weed removal. Harvesting by a farmer and tractor. Storage of stored produce in a barn. Arrows guide the sequence.

Figure 28.1: A complete view of the agricultural process.

  • Soil preparation: This is the first phase ...

Get Reshaping Intelligent Business and Industry now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.