Publication Date: 2023/09/21
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
DOI: https://doi.org/10.5281/zenodo.8366538
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23SEP827.pdf
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