Object Detection: A Comparative Study to Find Suitable Sensor in Smart Farming

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Abstract

Crop-loss is one of the major factors that led the farmers to ruin their lives and everything they possess. Internet of Things (IoT) is an advanced technology that is effectively benefitting various fields nowadays. We have tried to use this technology to save the lives of farmers by saving their crops from being ruined. For this, we have proposed a model that is going to be used in the agricultural fields to prevent wildlife attacks that is one of the major factors of crop loss. As we know that Animal hunting is one of the punishable offences in many countries. We want the animals to run away from the field without any physical harm. In this paper, we have tried to do a comparative study of sensors that would be most preferable for our proposed model. We want to find out which sensor is most suitable for the detection of wild animals in the agriculture field. For finding that we have done some experiments and observed the results to justify our sensor selection. As we want to choose the most suitable sensors for our crop protection model.

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APA

Kumar Mishra, M., & Sonal, D. (2022). Object Detection: A Comparative Study to Find Suitable Sensor in Smart Farming. In Springer Proceedings in Complexity (pp. 685–693). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-99792-2_58

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