A Smart Agriculture system employs sensor
technology and data analytics to enhance agricultural
practices, leading to increased crop yields and reduced
waste. Various sensors such as soil moisture,
temperature, humidity, and light intensity detectors are
utilized to monitor and analyze data for optimal crop
growth and improved farming techniques including
irrigation, fertilization, and pesticide management. These
systems find application in diverse agricultural
environments like open fields, orchards, and greenhouses,
providing valuable insights for informed decision-
making. Some systems integrate sensor-based
technologies for enhanced efficiency, offering cost-
effective and easily implementable solutions. This paper
aims to compare and comprehend existing smart farming
models, presenting a novel approach to integrating
Machine Learning and Internet of Things (IoT) in real-
time agricultural settings.
Keywords : Precision Agriculture, Smart Irrigation, Crop Management, Water Management, Digital Agriculture, Smart Agriculture, Machine Learning.