Growing the Seed of Future from Soil to Server: An Introductory Exploration of Current Tech in Farming Practices

Abstract

Smart farming, also referred to as precision agriculture, is revolutionizing the agricultural industry by utilizing cutting-edge technologies like cloud computing, the Internet of Things (IoT), machine learning(ML), and Cloud Computing. Farmers can now collect information from a variety of sources, including soil monitors, weather systems, and drones, to make well-informed agricultural management choices thanks to the use of these technologies. Large amounts of data can now be processed and stored more easily thanks to the use of cloud computing, which makes it simpler for farms to analyze the data and use it to maximize agricultural yields and conserve resources. Additionally, agricultural development trends have been predicted using machine learning methods, which have also been used to optimize irrigation, fertilizer, and pesticide use. Precision agriculture has greatly benefited from the IoT, which enables farmers to virtually watch and manage various systems and devices. Data on soil wetness, temperature, and other variables are collected using IoT devices, which are then used to send the data to cloud-based platforms for analysis. With this knowledge, producers can decide when and how much to fertilize or irrigate their crops, saving water and preventing pesticide overflow. IoT devices can also assist in agricultural health monitoring, pest and disease detection, and alerting producers when a response is required. In general, precision agriculture has benefited greatly from the integration of cloud computing, IoT, and machine learning, including increased agricultural yields, enhanced resource economy, and greater environmental sustainability. Future agriculture could be transformed by smart farming, which would also help to secure sustenance for a rising world population. The advantages of incorporating cloud computing, IoT, and machine learning in farmland are highlighted in this paper’s description of smart farming.