Developing a New Wireless Sensor Network Platform and Its Application in Precision Agriculture

Abstract

Wireless sensor networks are gaining greater attention from the research community and industrial professionals because these small pieces of “smart dust” offer great advantages due to their small size, low power consumption, easy integration and support for “green” applications. Green applications are considered a hot topic in intelligent environments, ubiquitous and pervasive computing. This work evaluates a new wireless sensor network platform and its application in precision agriculture, including its embedded operating system and its routing algorithm. To validate the technological platform and the embedded operating system, two different routing strategies were compared: hierarchical and flat. Both of these routing algorithms were tested in a small-scale network applied to a watermelon field. However, we strongly believe that this technological platform can be also applied to precision agriculture because it incorporates a modified version of LORA-CBF, a wireless location-based routing algorithm that uses cluster-based flooding. Cluster-based flooding addresses the scalability concerns of wireless sensor networks, while the modified LORA-CBF routing algorithm includes a metric to monitor residual battery energy. Furthermore, results show that the modified version of LORA-CBF functions well with both the flat and hierarchical algorithms, although it functions better with the flat algorithm in a small-scale agricultural network.

A Cloud Computing-Enabled Spatio-Temporal Cyber-Physical Information Infrastructure for Efficient Soil Moisture Monitoring

“…To help monitor crops precisely and instantaneously, spatial sensor webs have been widely used for comprehensive and persistent SM monitoring and disaster-warning applications in land, ocean, atmosphere, and ecological environments. The monitoring of SM with sensors, commonly aboard satellites, is an active research area [10,11]. In addition to the use of in situ sensors in SM monitoring [12,13], Earth Observation data (EOD) are also widely applied in SM monitoring [14,15].…”

Efficient localization of target in large scale farmland using generalized regression neural network

“…[1][2][3][4] The PA helps to enhance long-term sustainable quality and yield of crops by adopting efficient irrigation, detection of crop diseases in early stages, farmland monitoring, soil parameter estimation, water-deficient location identification, and automated pesticide spraying, agrochemical dosage reduction, etc. Therefore, more focus is being applied to precision agriculture (PA) since the last two decades to reduce the involvement of humans in various farming activities by adopting the application of information and wireless control technologies.…”

Design and Development of a Warning System for Early Season Control of Powdery Mildew Affecting Agricultural Crops.

“…N. Sakthipriya in paper entitled "An Effective Method for Crop Monitoring Using Wireless Sensor Network" a development of rice cropping monitoring using WSN is proposed to provide a helping hand to farmers in real-time monitoring, achieving precision agriculture and thus increasing the rice production [2]. In an article "Developing a New Wireless Sensor Network Platform and Its Application in Precision Agriculture", Raúl Aquino-Santos proposed a new platform for wireless sensor networks including its embedded operating system and its routing algorithm was evaluated in terms of route discovery time, packet delivery ratio, End-to-End delay, Throughput, routing load and overhead [9].…”