MATEC Web of Conferences 392, 01098 (2024) https://doi.org/10.
1051/matecconf/202439201098
ICMED 2024
An Efficient Agricultural Data Analysis Based
On IOT
P. Vaishnavi1*, V. Ramakrishna2, Komuraiah Akula3, Nasra Fatima4 and
Kudakala Saikrishna4, Ganapathi raju NV5, Soosan Chhabra6
1Computer Science and Engineering Department, KG Reddy College of Engineering, Hyderabad,
Telangana, India
2Technical Lead, HCL Technologies, Bengaluru, Karnataka, India
3Mechanical Engineering Department, KITS College of Engineering, Warangal, Telangana, India
4Computer Science and Engineering Department, KG Reddy College of Engineering, Hyderabad,
Telangana, India
5Department of IT, GRIET, Hyderabad, Telangana, India
6Lovely Professional University, Phagwara, Punjab, India.
Abstract. Science-based agriculture is increasing due to the rapid
development of science and technology. To keep up with today's
technology, many agricultural experts are turning to the Internet of Things
(IoT) to drive advances in this field. For India, agriculture is the backbone
of the Indian economy. The most important issue in today's technology is
climate change. This review aims to provide an overview of IoT in
agriculture and food to better understand the use of IoT and how it solves
the above problems. Start by defining and further explaining the concept of
IoT. The next section summarises the analysis results and discusses
application areas, technical support, and future challenges.
1 Introduction
The Internet of Things combines the concepts of "Internet" and "things", so it can be
defined as a "global network of interconnected objects based on technical communication.
"In the Internet of Things, each "Object. is unique." identifier, equipped with sensors and
instantly connected to the Internet. Therefore, the Internet will be deeply understood in the
daily lives of consumers and businesses. Invisible technology works behind the scenes,
dynamically responding to how we want “things” to behave. The Internet is expected to
become the Internet of Things revolution.
To date, approximately 5 billion "smart" connected devices have been introduced
worldwide.
Benefits of IOT in Agriculture
Agriculture is evolving from the mechanization of simple methods in the 20th century to au
* Corresponding author: vrk1013@gmail.com
© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative
Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/).
MATEC Web of Conferences 392, 01098 (2024) https://doi.org/10.1051/matecconf/202439201098
ICMED 2024
tomation in the 21st century. As agriculture continues to grow, high efficiency in the proces
s is required to increase yield and quality while
reducing production costs. To achieve these prerequisites, automatic systems need to be intr
oduced. To achieve a high level of automation, it is very
important for developers to decide on the technology and application early.[3] Here are the
following benefits of
IoT in agriculture:
1. Improve the utilization of resources (soil, water, fertilizers, pesticide lines)
2. Reduce production costs.
3. Increase profitability.
4. Sustainable Development
5. Food Safety
6. Environmental Protection
Table 1. Hierarchy of applications, services, and sensors
Smart Agriculture
Applications Services Sensors
Water and nutrition Irrigation Leaf sensors
monitoring
Diseases and bug monitoring Pesticide Stem sensors
Soil monitoring Fungicides Temperature sensor
Crop health monitoring Herbicides Humidity sensor
Machinery Fertilisation ..
Environment Soil preparation ..
Yield condition Etc
Yield storage
2 Literature Review
The Internet of Things (IoT) is transforming many industries through the integration of
sensors, connectivity, data analytics, and automation. Agriculture is one sector seeing
significant disruption from IoT technologies. This literature review examines recent
research on IoT applications in agriculture, focusing on key technologies, implementations,
benefits, and challenges.
IoT Architectures and Enabling Technologies
Several studies have explored IoT architectures and enabling technologies tailored for smart
agriculture systems. [1] proposed a three-layer architecture consisting of device, network,
and application layers. They highlighted key technologies like RFID, sensors, WiFi, and
cloud computing. [2] reviewed wireless sensor networks, RFID, satellites, drones, and
smartphones as key IoT enablers in agriculture. [4] focused on sensors, RFID, Zigbee, and
other wireless technologies that facilitate real-time data collection and analytics. Common
themes across studies include sensors, wireless networking, cloud/software platforms, and
data analytics as core IoT building blocks.
IoT Applications in Agriculture
