3 research outputs found
A low power IoT network for smart agriculture
Traditional agriculture is transforming into smart
agriculture due to the prominence of the Internet of Things (IoT).
Low-cost and low-power are the key factors to make any IoT
network useful and acceptable to the farmers. In this paper,
we have proposed a low-power, low-cost IoT network for smart
agriculture. For monitoring the soil moisture content, we have
used an in-house developed sensor. In the proposed network, the
IITH mote is used as a sink and sensor node which provides
low-power communication. We have evaluated our network with
state of the art networks, proposed for agriculture monitoring.
Power and cost are the two metrics used for evaluation of these
networks. Results show that the proposed network consumes less
power and has prolonged lifetime in the agriculture field
Site-specific seeding using multi-sensor and data fusion techniques : a review
Site-specific seeding (SSS) is a precision agricultural (PA) practice aiming at optimizing seeding rate and depth, depending on the within field variability in soil fertility and yield potential. Unlike other site-specific applications, SSS was not adopted sufficiently by farmers due to some technological and practical challenges that need to be overcome. Success of site-specific application strongly depends on the accuracy of measurement of key parameters in the system, modeling and delineation of management zone maps, accurate recommendations and finally the right choice of variable rate (VR) technologies and their integrations. The current study reviews available principles and technologies for both map-based and senor-based SSS. It covers the background of crop and soil quality indicators (SQI), various soil and crop sensor technologies and recommendation approaches of map-based and sensor-based SSS applications. It also discusses the potential of socio-economic benefits of SSS against uniform seeding. The current review proposes prospective future technology synthesis for implementation of SSS in practice. A multi-sensor data fusion system, integrating proper sensor combinations, is suggested as an essential approach for putting SSS into practice
UAV Routing Protocol for Crop Health Management
International audienceWireless sensor networks are now a credible means for crop data collection. The installation of a fixed communication structure to relay the monitored data from the cluster head to its final destination can either be impractical because of land topology or prohibitive due to high initial cost. A plausible solution is to use Unmanned Aerial Vehicles (UAV) as an alternative means for both data collection and limited supervisory control of sensors status. In this paper, we consider the case of disjoint farming parcels each including clusters of sensors, organized in a predetermined way according to farming objectives. This research focuses to drive an optimal solution for UAV search and data gathering from all sensors installed in a crop field. Furthermore, the sensor routing protocol will take into account a tradeoff between energy management and data dissemination overhead. The proposed system is evaluated by using a simulated model and it should find out a class among all under consideration