Abstract

Sap flow measurements of trees are today the most common method to determine evapotranspiration at the tree and the forest/crop canopy level. They provide independent measurements for flux comparisons and model validation. The most common approach to measure the sap flow is based on intrusive solutions with heaters and thermal sensors. This sap flow sensor technology is not very reliable for more than one season crop; it is intrusive and not adequate for low diameter trunk trees. The non-invasive methods comprise mostly Radio-frequency (RF) technologies, typically using satellite or air-born sources. This system can monitor large fields but cannot measure sap levels of a single plant (precision agriculture). This article studies the hypothesis to use of RF signals attenuation principle to detect variations in the quantity of water present in a single plant. This article presents a well-defined experience to measure water content in leaves, by means of high gains RF antennas, spectrometer, and a robotic arm. Moreover, a similar concept is studied with an off-the-shelf radar solution—for the automotive industry—to detect changes in the water presence in a single plant and leaf. The conclusions indicate a novel potential application of this technology to precision agriculture as the experiments data is directly related to the sap flow variations in plant.

Highlights

  • Agriculture represents an essential sector of the global economy

  • We present the experimental results obtained in the previous validation experiments with the two high-gain antennas, and the results obtained with the radar AWR1843BOOST

  • All the times indicated during the tests are according to Greenwich Mean Time Zone (GMT)

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Summary

Introduction

Agriculture represents an essential sector of the global economy. This activity was adapted along years to fulfil the needs of the world’s population, which has duplicated in the last 50 years [1]. Precision agriculture and agricultural robotics have been exploiting the potential usage of Variable Rate Technologies (VRT) to control the rate of agronomic inputs, such as water, based on features as plant status and location. Traditional VRT systems consider information from agro-data cloud systems to estimate the correct amount of agronomic inputs. These systems do not have access to real-time feedback about the requirements of a plant

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