Authors :
Sharanesh Prabhu Upase; Nikhil; Rakesh G S; Chandru R; Vedashree L V
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/3uy5m9da
Scribd :
https://tinyurl.com/5yf7y8dp
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR830
Abstract :
The rise of global population has put
increasing pressure on the agriculture industry to meet
the demand for food. However, the growing use of
pesticides and insecticides in conventional farming
practices has caused significant harm to the environment
and human health. Thus, there is a growing interest in
using sustainable agriculture practices that reduce the use
of these harmful chemicals. One such practice is pest
detection, which enables farmers to detect pests in their
crops before they cause significant damage. In this
context, this project aims to develop a pest detection
system using IoT and Arduino. The system will be
designed to detect pests in crops through a combination
of sensors and machine learning algorithms. The system
will consist of an Arduino microcontroller, soil moisture
sensors, temperature and humidity sensors, infrared
sensors or camera modules, and a Wi-Fi or Bluetooth
module. The sensors will collect data on soil moisture
levels, temperature, humidity, and pest activity. The data
will be sent to a cloud-based server or database for
analysis and visualization. The infrared sensor or camera
module will detect the presence of pests in the crops. The
system will use machine learning algorithms to
distinguish between pests and other objects, such as
leaves or debris. When pests are detected, the system will
alert the farmer through a buzzer or LED connected to
the Arduino board. The farmer can then take appropriate
action, such as applying pesticide or removing infested
plants. The pest detection system has the potential to
reduce the use of harmful pesticides and insecticides in
agriculture, as farmers will be able to identify pests
before they cause significant damage. The system will also
provide farmers with real-time information on pest
activity, enabling them to take proactive measures to
control pests and reduce crop damage. Additionally, the
system can track and store the pest detection data over
time, allowing farmers to monitor trends and patterns in
pest activity. In conclusion, this project proposes the
development of a pest detection system using IoT and
Arduino that will enable farmers to monitor pest activity
in their crops in real-time. The system has the potential to
reduce the use of harmful chemicals in agriculture and
improve crop yield while ensuring sustainable and
environmentally friendly practices.
Keywords :
Arduino, Programming, Pest Control.
The rise of global population has put
increasing pressure on the agriculture industry to meet
the demand for food. However, the growing use of
pesticides and insecticides in conventional farming
practices has caused significant harm to the environment
and human health. Thus, there is a growing interest in
using sustainable agriculture practices that reduce the use
of these harmful chemicals. One such practice is pest
detection, which enables farmers to detect pests in their
crops before they cause significant damage. In this
context, this project aims to develop a pest detection
system using IoT and Arduino. The system will be
designed to detect pests in crops through a combination
of sensors and machine learning algorithms. The system
will consist of an Arduino microcontroller, soil moisture
sensors, temperature and humidity sensors, infrared
sensors or camera modules, and a Wi-Fi or Bluetooth
module. The sensors will collect data on soil moisture
levels, temperature, humidity, and pest activity. The data
will be sent to a cloud-based server or database for
analysis and visualization. The infrared sensor or camera
module will detect the presence of pests in the crops. The
system will use machine learning algorithms to
distinguish between pests and other objects, such as
leaves or debris. When pests are detected, the system will
alert the farmer through a buzzer or LED connected to
the Arduino board. The farmer can then take appropriate
action, such as applying pesticide or removing infested
plants. The pest detection system has the potential to
reduce the use of harmful pesticides and insecticides in
agriculture, as farmers will be able to identify pests
before they cause significant damage. The system will also
provide farmers with real-time information on pest
activity, enabling them to take proactive measures to
control pests and reduce crop damage. Additionally, the
system can track and store the pest detection data over
time, allowing farmers to monitor trends and patterns in
pest activity. In conclusion, this project proposes the
development of a pest detection system using IoT and
Arduino that will enable farmers to monitor pest activity
in their crops in real-time. The system has the potential to
reduce the use of harmful chemicals in agriculture and
improve crop yield while ensuring sustainable and
environmentally friendly practices.
Keywords :
Arduino, Programming, Pest Control.
