Authors :
Asim Irfan; Harchand Meghwar; Ambedgar Menghwar; Atif Nawaz; Govinda
Volume/Issue :
Volume 8 - 2023, Issue 9 - September
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/2fa4w5xa
DOI :
https://doi.org/10.5281/zenodo.8366538
Abstract :
Smart farming is a new technology concept
that uses advanced electronic sensors to collect data
from a variety of agricultural landscapes. This data is
used to make predictions about weather patterns, soil
fertility, crop quality, and water requirements. The
information can be used by experts and local farmers to
make better decisions about short- and long-term
planning. One of the key aspects of smart farming is the
automation of some farming processes, such as smart
irrigation and water management. This can be done
using predictive algorithms on SoC or microcontrollers
to determine how much water is needed right now for a
particular agricultural sector. The use of the Internet of
Things (IoT) eliminates the need for manual labor to
collect this crucial agricultural data. This is because IoT
systems can collect data automatically and in real time,
which canlead to more accurate and timely insights.
This paper will present a research study on the
development of a smart farming system. The study will
investigate the use of different types of sensors, data
collection and analysis techniques, and communication
protocols. The results of the study will be used to design
and implement a prototype system. The prototype system
will be evaluated in a field trial to assess its effectiveness
in improving agricultural productivity. The paper will
conclude with a discussion of the potential benefits of
smart farming systems for agriculture. The paper will
also discuss the challenges that need to be addressed in
order to make these systems more widely available and
affordable.
Keywords :
Smart Farming, IoT, Sensors, Data Collection, Analysis, Communication Protocols, Prototype System, Field Trial, Agricultural Productivity
Smart farming is a new technology concept
that uses advanced electronic sensors to collect data
from a variety of agricultural landscapes. This data is
used to make predictions about weather patterns, soil
fertility, crop quality, and water requirements. The
information can be used by experts and local farmers to
make better decisions about short- and long-term
planning. One of the key aspects of smart farming is the
automation of some farming processes, such as smart
irrigation and water management. This can be done
using predictive algorithms on SoC or microcontrollers
to determine how much water is needed right now for a
particular agricultural sector. The use of the Internet of
Things (IoT) eliminates the need for manual labor to
collect this crucial agricultural data. This is because IoT
systems can collect data automatically and in real time,
which canlead to more accurate and timely insights.
This paper will present a research study on the
development of a smart farming system. The study will
investigate the use of different types of sensors, data
collection and analysis techniques, and communication
protocols. The results of the study will be used to design
and implement a prototype system. The prototype system
will be evaluated in a field trial to assess its effectiveness
in improving agricultural productivity. The paper will
conclude with a discussion of the potential benefits of
smart farming systems for agriculture. The paper will
also discuss the challenges that need to be addressed in
order to make these systems more widely available and
affordable.
Keywords :
Smart Farming, IoT, Sensors, Data Collection, Analysis, Communication Protocols, Prototype System, Field Trial, Agricultural Productivity
