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The global population is rising and there is a need for smartness in agriculture. With the advancement in technology, it is possible to handle agricultural activities in a smart manner. The Internet of Things, Digital Twins, Artificial Intelligence, Machine Learning and Big data can be used for agriculture. Improving the farming efficiency and quality is a major challenge. Most of the day-to-day activities of the farms can be automated and monitored by the farmers. Moreover, there is a need for real-time analysis of the collected data, which can be more informative and realistic and helps in prediction of the future and decision making. The digital twins can be introduced to agriculture, which can help in various activities and making predictions. The digital twins and IoT can be a useful combination for agricultural activities. The various applications, parameters used, and the modeling adopted for digital twins for agriculture is highlighted in this article.
Akshay et al. (Fri,) studied this question.