Harvesting Data Big Data Analytics in AgTech
DOI:
https://doi.org/10.55938/wlp.v1i2.120Keywords:
Agr-Itech, Data Analytics, Climate-Smart Agriculture, Agricultural Informatics, Sustainable FarmingAbstract
Smart farming leverages cutting-edge technologies like cloud computing and the Internet of Things (IoT) to incorporate technology into farm management. Farming operations make decisions based on Big Data, comprised of an enormous amount of data from various sources. Innovative agricultural technologies are transforming farming techniques and sustainability. Some of these technologies includes virtual and augmented reality, IoT, robotics, Artificial Intelligence (AI), Big Data, and automation. These innovations power precision agriculture, which maximizes the utilization of available resources and makes advantage of an array of data from everyday activities to boost crop output and performance. The paper explores the sensors and data analytics techniques that are now employed across various agricultural fields, highlighting how data analytics has transformed agriculture from an input-intensive to a knowledge-intensive sector. The agricultural industry is transitioning from depending exclusively on wireless sensor networks to a more integrated approach by leveraging IoT and data analytics to boost operational efficiency and productivity. A multifaceted strategy designed for strengthening agricultural output, revenue, responsive capacities, and greenhouse gas emission mitigation, known as climate-smart agriculture (CSA), is gaining momentum because to the integration of big data analytics and climate change science. IoT technology breakthroughs are redefining "smart agriculture," transforming conventional statistical techniques into quantitative approaches. This article explores the prospects and problems of integrating wireless sensors and the IoT with traditional methods of farming to explore the potential of these technologies in agriculture.
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