{"id":21116,"date":"2022-12-20T10:34:00","date_gmt":"2022-12-20T10:34:00","guid":{"rendered":"https:\/\/cit.upc.edu\/?post_type=portfolio&p=21116"},"modified":"2024-10-03T08:06:12","modified_gmt":"2024-10-03T08:06:12","slug":"an-autonomous-robot-to-detect-soil-humidity-using-georadar-technology","status":"publish","type":"portfolio","link":"https:\/\/cit.upc.edu\/en\/portfolio-item\/an-autonomous-robot-to-detect-soil-humidity-using-georadar-technology\/","title":{"rendered":"GroPeRBot: An autonomous robotic system to detect soil humidity using georadar technology"},"content":{"rendered":"\n

Efficient water management is a key factor to increase the output of agricultural activity in accordance with the Sustainable Development Goals of Agenda 2030. To improve efficiency and efficacy in the use of irrigation water in agriculture and in the transformation of foods, the GroPeRBot emerged. Participants include the Center for Industrial Equipment Design-Dynamics of Machines (CDEI) and the Geophysics and Earthquake Engineering (GiES) group of the Universitat Polit\u00e8cnica de Catalunya – BarcelonaTech (UPC).<\/p>\n\n\n\n

The aim of the project is to demonstrate the applicability of autonomous electromagnetic detection systems to identify properties of the agricultural soil <\/strong>and, specifically, to detect the soil humidity at different depths<\/strong>.<\/p>\n\n\n\n

An autonomous robot to detect soil humidity<\/strong>

To achieve this objective, a prototype of an autonomous land inspection robot will be created, based on the convergence of technologies: autonomous mobile robotics, ground penetrating radar (GPR), recognition and automatic classification with machine learning, and autonomous decision making based on sensory data<\/strong>.<\/p>\n\n\n\n

Through a ground penetrating radar (GPR), geophysical prospecting of the land will enable buried objects and changes to be detected by means of the electromagnetic properties. With the data that are gathered and using neural networks, the water content in the subsoil will be assessed to determine electromagnetic parameters in the medium. These enable detection of whether there is any water, how much is there and where it is located in the subsoil. The combined data on the surface and the subsoil enable the characteristics of the soil in large extensions of land to be mapped and stored.<\/p>\n\n\n\n

The CDEI will carry out the tasks of integration of the autonomous robot and the GPR, by adapting the platform so that it can house the georadar and integrate the navigation system. It will also participate in the phases of mechanical adaptation of the robotic platform, integration of the electronic and power systems and of software, and subsequent experiments and the appraisal phase.<\/p>\n\n\n\n

Results and expected impact<\/strong><\/p>\n\n\n\n

GroPeRBot will have as a result the development of the prototype of an autonomous land-inspection robot that can detect soil humidity at different depths. For this task, and unlike other existing tools, extractive tests do not need to be carried out. This reduces the cost, time and impact on the ecosystem.<\/p>\n\n\n\n

GroPeRBot will contribute to the digitalisation of the sector, specifically, to precision agriculture, to achieve savings in resources and greater production efficiency.<\/p>\n\n\n\n

Other potential applications will be to identify the sate of maturity and health of root vegetables, detailed characterisation of the quality of the subsoil (contaminants and types of soil) and mapping of the network of deep roots to improve the efficiency of resources and reduce waste.<\/p>\n\n\n\n

Budget and funding<\/strong><\/p>\n\n\n\n

The project was funded through the call for applications Grants for technology transfer demonstration activities of the Catalan Rural Development Programme 2014-2022 (PDR 2014-2022), of the Government of Catalonia\u2019s Department of Climate Action, Food and the Rural Agenda. GroPeRBot has a total budget of \u20ac44,956.02 and lasts 18 months (from June 2022 to February 2024).<\/p>\n\n\n\n

20\/12\/2022
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Efficient water management is a key factor to increase the output of agricultural activity in accordance with the Sustainable Development Goals of Agenda 2030. To improve efficiency and efficacy in the use of irrigation water in agriculture and in the transformation of foods, the GroPeRBot emerged. Participants include the Center for Industrial Equipment Design-Dynamics of Machines (CDEI) and the Geophysics and Earthquake Engineering (GiES) group of the Universitat Polit\u00e8cnica de Catalunya – BarcelonaTech (UPC).\r
The aim of the project is to demonstrate the applicability of autonomous electromagnetic detection systems to identify properties of the agricultural soil and, specifically, to detect the soil humidity at different depths.\r
\u00a0\r
An autonomous robot to detect soil humidity\r
To achieve this objective, a prototype of an autonomous land inspection robot will be created, based on the convergence of technologies: autonomous mobile robotics, ground penetrating radar (GPR), recognition and automatic classification with machine learning, and autonomous decision making based on sensory data.\r
Through a ground penetrating radar (GPR), geophysical prospecting of the land will enable buried objects and changes to be detected by means of the electromagnetic properties. With the data that are gathered and using neural networks, the water content in the subsoil will be assessed to determine electromagnetic parameters in the medium. These enable detection of whether there is any water, how much is there and where it is located in the subsoil. The combined data on the surface and the subsoil enable the characteristics of the soil in large extensions of land to be mapped and stored.\r
The CDEI will carry out the tasks of integration of the autonomous robot and the GPR, by adapting the platform so that it can house the georadar and integrate the navigation system. It will also participate in the phases of mechanical adaptation of the robotic platform, integration of the electronic and power systems and of software, and subsequent experiments and the appraisal phase.\r
\u00a0\r
Results and expected impact\r
GroPeRBot will have as a result the development of the prototype of an autonomous land-inspection robot that can detect soil humidity at different depths. For this task, and unlike other existing tools, extractive tests do not need to be carried out. This reduces the cost, time and impact on the ecosystem.\r
GroPeRBot will contribute to the digitalisation of the sector, specifically, to precision agriculture, to achieve savings in resources and greater production efficiency.\r
Other potential applications will be to identify the sate of maturity and health of root vegetables, detailed characterisation of the quality of the subsoil (contaminants and types of soil) and mapping of the network of deep roots to improve the efficiency of resources and reduce waste.\r
\u00a0\r
Budget and funding\r
The project was funded through the call for applications Grants for technology transfer demonstration activities of the Catalan Rural Development Programme 2014-2022 (PDR 2014-2022), of the Government of Catalonia\u2019s Department of Climate Action, Food and the Rural Agenda. GroPeRBot has a total budget of \u20ac44,956.02 and lasts 18 months (from June 2022 to February 2024).
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20\/12\/2022
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Efficient water management is a key factor to increase the output of agricultural activity in accordance with the Sustainable Development Goals of Agenda 2030. To improve efficiency and efficacy in the use of irrigation water in agriculture and in the transformation of foods, the GroPeRBot emerged. Participants include the Center for Industrial Equipment Design-Dynamics of Machines (CDEI) and the Geophysics and Earthquake Engineering (GiES) group of the Universitat Polit\u00e8cnica de Catalunya – BarcelonaTech (UPC).\r
The aim of the project is to demonstrate the applicability of autonomous electromagnetic detection systems to identify properties of the agricultural soil and, specifically, to detect the soil humidity at different depths.\r
\u00a0\r
An autonomous robot to detect soil humidity\r
To achieve this objective, a prototype of an autonomous land inspection robot will be created, based on the convergence of technologies: autonomous mobile robotics, ground penetrating radar (GPR), recognition and automatic classification with machine learning, and autonomous decision making based on sensory data.\r
Through a ground penetrating radar (GPR), geophysical prospecting of the land will enable buried objects and changes to be detected by means of the electromagnetic properties. With the data that are gathered and using neural networks, the water content in the subsoil will be assessed to determine electromagnetic parameters in the medium. These enable detection of whether there is any water, how much is there and where it is located in the subsoil. The combined data on the surface and the subsoil enable the characteristics of the soil in large extensions of land to be mapped and stored.\r
The CDEI will carry out the tasks of integration of the autonomous robot and the GPR, by adapting the platform so that it can house the georadar and integrate the navigation system. It will also participate in the phases of mechanical adaptation of the robotic platform, integration of the electronic and power systems and of software, and subsequent experiments and the appraisal phase.\r
\u00a0\r
Results and expected impact\r
GroPeRBot will have as a result the development of the prototype of an autonomous land-inspection robot that can detect soil humidity at different depths. For this task, and unlike other existing tools, extractive tests do not need to be carried out. This reduces the cost, time and impact on the ecosystem.\r
GroPeRBot will contribute to the digitalisation of the sector, specifically, to precision agriculture, to achieve savings in resources and greater production efficiency.\r
Other potential applications will be to identify the sate of maturity and health of root vegetables, detailed characterisation of the quality of the subsoil (contaminants and types of soil) and mapping of the network of deep roots to improve the efficiency of resources and reduce waste.\r
\u00a0\r
Budget and funding\r
The project was funded through the call for applications Grants for technology transfer demonstration activities of the Catalan Rural Development Programme 2014-2022 (PDR 2014-2022), of the Government of Catalonia\u2019s Department of Climate Action, Food and the Rural Agenda. GroPeRBot has a total budget of \u20ac44,956.02 and lasts 18 months (from June 2022 to February 2024).
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20\/12\/2022
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Efficient water management is a key factor to increase the output of agricultural activity in accordance with the Sustainable Development Goals of Agenda 2030. To improve efficiency and efficacy in the use of irrigation water in agriculture and in the transformation of foods, the GroPeRBot emerged. Participants include the Center for Industrial Equipment Design-Dynamics of Machines (CDEI) and the Geophysics and Earthquake Engineering (GiES) group of the Universitat Polit\u00e8cnica de Catalunya – BarcelonaTech (UPC).

The aim of the project is to demonstrate the applicability of autonomous electromagnetic detection systems to identify properties of the agricultural soil and, specifically, to detect the soil humidity at different depths.

\u00a0

An autonomous robot to detect soil humidity

To achieve this objective, a prototype of an autonomous land inspection robot will be created, based on the convergence of technologies: autonomous mobile robotics, ground penetrating radar (GPR), recognition and automatic classification with machine learning, and autonomous decision making based on sensory data.

Through a ground penetrating radar (GPR), geophysical prospecting of the land will enable buried objects and changes to be detected by means of the electromagnetic properties. With the data that are gathered and using neural networks, the water content in the subsoil will be assessed to determine electromagnetic parameters in the medium. These enable detection of whether there is any water, how much is there and where it is located in the subsoil. The combined data on the surface and the subsoil enable the characteristics of the soil in large extensions of land to be mapped and stored.

The CDEI will carry out the tasks of integration of the autonomous robot and the GPR, by adapting the platform so that it can house the georadar and integrate the navigation system. It will also participate in the phases of mechanical adaptation of the robotic platform, integration of the electronic and power systems and of software, and subsequent experiments and the appraisal phase.

\u00a0

Results and expected impact

GroPeRBot will have as a result the development of the prototype of an autonomous land-inspection robot that can detect soil humidity at different depths. For this task, and unlike other existing tools, extractive tests do not need to be carried out. This reduces the cost, time and impact on the ecosystem.

GroPeRBot will contribute to the digitalisation of the sector, specifically, to precision agriculture, to achieve savings in resources and greater production efficiency.

Other potential applications will be to identify the sate of maturity and health of root vegetables, detailed characterisation of the quality of the subsoil (contaminants and types of soil) and mapping of the network of deep roots to improve the efficiency of resources and reduce waste.

\u00a0

Budget and funding

The project was funded through the call for applications Grants for technology transfer demonstration activities of the Catalan Rural Development Programme 2014-2022 (PDR 2014-2022), of the Government of Catalonia\u2019s Department of Climate Action, Food and the Rural Agenda. GroPeRBot has a total budget of \u20ac44,956.02 and lasts 18 months (from June 2022 to February 2024).
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