SoilBus
Disciplines
Robotics
Abstract (300 words maximum)
Data collection and transmission are critical parts of crop monitoring for Precision Agriculture. Current data collection methods can be prone to long range signal difficulties and typically require a sink and source node structure. In our research, we propose an ad hoc wireless sensor network approach to precision agriculture soil data collection using ESP32 based deployment modules. Each module houses a suite of soil sensors to collect pertinent data to indicate crop performance and stores this data locally. The modules are deployed in a graphical layout, with each deployed module having n number of deployed modules within its ESPNOW communication protocol range. Collective data acquisition is then completed via an Unmanned Ground Vehicle (UGV) with a requester ESP32 node. When the unmanned ground vehicle approaches a deployed module in the graph, the module will systematically discover and chain all other modules in the graph to transmit collected soil data to the UGV. Ultimately, this framework allows for flexible data acquisition as any node in the network can be the destination data acquisition point and aims for more reliable data transmission by using an ad hoc approach.
Use of AI Disclaimer
no
Academic department under which the project should be listed
SPCEET – Robotics and Mechatronics Engineering
Primary Investigator (PI) Name
Muhammad Hassan Tanveer
SoilBus
Data collection and transmission are critical parts of crop monitoring for Precision Agriculture. Current data collection methods can be prone to long range signal difficulties and typically require a sink and source node structure. In our research, we propose an ad hoc wireless sensor network approach to precision agriculture soil data collection using ESP32 based deployment modules. Each module houses a suite of soil sensors to collect pertinent data to indicate crop performance and stores this data locally. The modules are deployed in a graphical layout, with each deployed module having n number of deployed modules within its ESPNOW communication protocol range. Collective data acquisition is then completed via an Unmanned Ground Vehicle (UGV) with a requester ESP32 node. When the unmanned ground vehicle approaches a deployed module in the graph, the module will systematically discover and chain all other modules in the graph to transmit collected soil data to the UGV. Ultimately, this framework allows for flexible data acquisition as any node in the network can be the destination data acquisition point and aims for more reliable data transmission by using an ad hoc approach.