Abstract
Many agricultural applications, including improved crop production, precision agriculture, and phenotyping, rely on detailed field and crop information to detect and react to spatial variabilities. Mobile farm vehicles, such as tractors and sprayers, have the potential to operate as mobile sensing platforms, enabling the collection of large amounts of data while working. Open-source hardware and software components were integrated to develop a mobile plant-canopy sensing and monitoring system. The microcontroller-based system, which incorporated a Bluetooth radio, GPS receiver, infrared temperature and ultrasonic distance sensors, micro SD card storage, and voltage regulation components, was developed at a cost of US$292. The system was installed on an agricultural vehicle and tested in a soybean field. The monitoring system demonstrates an application of open-source hardware to agricultural research and provides a framework for similar or additional sensing applications.
Highlights
Many agricultural applications, including improved crop production, precision agriculture, and phenotyping, rely on detailed field and crop information to detect and react to spatial variabilities
The system was installed on an agricultural vehicle and tested in a soybean field
The monitoring system demonstrates an application of open-source hardware to agricultural research and provides a framework for similar or additional sensing applications
Summary
Many agricultural applications, including improved crop production, precision agriculture, and phenotyping, rely on detailed field and crop information to detect and react to spatial variabilities. Plant characteristics of interest often include plant canopy temperature and plant height. Canopy temperature has been studied for decades as an indicator of stress [1] [2], to evaluate drought tolerance [3], and for scheduling irrigations [4]. Plant height is of interest due to its role in determining a variety of plant traits [5], and as an indicator of yield and biomass [6] [7] [8] [9].
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