You can check the recent news and publications produced by SWAMP Team.
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The objective of the SWAMP Italian pilot was the development and test IoT solutions for precise water-need estimation and optimal irrigation management to improve irrigation efficiency, reducing water usage and energy costs
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The fieldwork required for keeping the MATOPIBA pilot up and running was affected by the 2020 Covid-19 pandemic. We kept the LoRaWAN infrastructure running, including four soil probes to collect data during the corn season.
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SWAMP Cartagena pilot focused on optimising irrigation water consumption when growing baby-leaf spinach in semi-arid area close to Cartagena, Spain
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In February 2020, early before the Italian lockdown, the VAIMEE start-up has been founded. VAIMEE is going to become an official spin-off of the University of Bologna by the end of December 2020.
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A group of SWAMP researchers received the best paper award in the MetroAgriFor conference, held online from 4 to 6 of November 2020. MetroAgriFor aims to put together researchers working with measurement and data processing techniques for Agriculture, Forestry, and Food
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The SWAMP project published a paper in the IEEE Global Humanitarian Technology Conference (GHTC 2020), reporting experience with fuzzy logic to control the automated irrigation of crops using soil moisture, air humidity, and air temperature sensor data.
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Understanding the tradeoffs of LoRaWAN for IoT-based Smart Irrigation proposes of a two-step methodology to evaluate the performance of LoRaWAN based on simulation for understanding the behavior of the air interface and measurement for understanding the behavior of the IoT Platform
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The SWAMP project published a paper in the 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor 2020) reporting an experience aimed at evaluating the Sensitivity of the agro-hydrological model CRITERIA-1D to the Leaf Area Index parameter for precision irrigation management
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E Calibration Equation and Field Test of a Capacitive Soil Moisture Sensor recognizes that many IoT solutions rely on the use of soil moisture sensors to gather data, in real- time, from the plant’s root zone. This study presents a linear calibration curve, obtained by the thermogravimetric method, for a capacitive soil moisture sensor for a silty clay soil
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Smart Water Management in Agriculture: a Proposal for an Optimal Scheduling Formulation of a Gravity Water Distribution System proposes an improved approach to the irrigation scheduling problem, reducing water wastage while satisfying farmers’ demands and crops’ water needs.
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Enabling Context Aware Tuning of Low Power Sensors for Smart Agriculture describes an application for the context aware tuning of the data rate of a battery powered LoRaWAN multi-sensor node designed within SWAMP.
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The SWAMP Farmer App for IoT-based Smart Water Status Monitoring and Irrigation Control presents the SWAMP Farmer App for water status monitoring and irrigation control
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Enhancing Soil Measurements with a Multi-Depth Sensor for IoT-based Smart Irrigation reporting a multi-depth and multi-parameter probe for soil data collection utilized to on-farm research by the SWAMP project;
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The SWAMP project published a paper in the 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor 2020) reporting a data filtering mechanism for optimizing data transmission between fog and cloud in an IoT system.
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The SWAMP project played an important role in the IEEE MetroAgriFor 2020 (2020 IEEE International Workshop on Metrology for Agriculture and Forestry), having members serving as conference organizers, chairs of two special sessions, and publication of 10 research papers.
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