Crop Health Monitoring Using IoT-Enabled Precision Agriculture

Abstract

Agriculture holds paramount significance in Pakistan due to its high impact on gross domestic product (GDP). However, there is huge gap between actual production and estimated production in agriculture due to manual farming system, which is time-consuming, inefficient, and labor-intensive. As of today, ultra-modern technology such as Internet of Things (IoT) can assist in acquiring timely and accurate crop information essential for the success of precision agriculture technology. Towards such ends, the authors propose an IoT-based crop health monitoring system comprised of different sensors used in agricultural fields. Additionally, low altitude remote sensing platforms, such as drones, are used to capture the spectral imagery of the entire crop field of the study region. The development of such a system can be instrumental for crop status monitoring and localizing the areas under stress to maximize the agricultural output by leveraging the IoT technology.