Use of IoT technologies for irrigation and plant protection: the case for Cypriot fruits and vegetables
1. USE OF IOT TECHNOLOGIES FOR IRRIGATION
AND PLANT PROTECTION: THE CASE FOR
CYPRIOT FRUITS AND VEGETABLES
DIGITAL ECOSYSTEM UTILISATION
GEORGE ADAMIDES
SENIOR AGRICULTURAL RESEARCH OFFICER
AGRICULTURAL RESEARCH INSTITUTE, CYPRUS
EFITA-HAICTA-WCCA Congress, June 28 2019
2. PROJECT
OBJECTIVES
IoF2020 fosters a large-scale uptake of IoT in the
European farming and food sector. In brief, it aims to:
1. Demonstrate the business case of IoT for a large
number of application areas in farming and food sector;
2. Integrate and reuse available IoT technologies by
exploiting open infrastructures and standards;
3. Ensure user acceptability of IoT solutions in farming
and food sector by addressing user needs, including
security, privacy and trust issues;
4. Ensure the sustainability of IoT solutions beyond the
project by validating the related business models and
setting up an IoT ecosystem for large scale uptake.
2
4. FRUITS AND VEGETABLES IN THE EU
• 920,000 holdings grow fresh vegetables
(including melons and strawberries)
• 2.2 million hectares (1.9% of all EU arable
land)
• 65.5% (population aged 15 or over) eat at
least one portion of fruit and vegetables on a
daily basis.
• The vegetable sector amounts to around
10% of the total agricultural output value in
the EU
Source: ec.europa.eu/eurostat (March 2018 data)
5. CYPRIOT AGRICULTURAL SECTOR
• 2% to Gross Domestic Product
• 4% of labor force
• Main crop products:
• Potatoes, citrus, vegetables and grapes
• Main structural problems:
• Small and fragmented farm holdings
• High input costs
• Ageing for rural population
• Land degradation and water scarcity
• Marketing problems
Sources: Cyprus Statistical Service (2017 data), Adamides et al. (2013)
6. FRESH VEGETABLES IN CYPRUS
(INCLUDING MELONS AND STRAWBERRIES)
• Area: 2.79 (1000 ha)
• Agricultural holdings: 4.28 (1000
holdings)
• Production value at basic price: 84.30
Million euro
• Fruit consumption (at least once a day)
58.4%
• Vegetables consumption (at least once a
day) 51.2%
Source: https://ec.europa.eu/eurostat
8. CYSLOP SELECTED PILOT STUDIES (6)
Pilot 1 Ammochostos
Pilot 2 Ammochostos
Pilot 3 Omodos
Pilot 4 Foini
Pilot 5 Agios Ioannis
Pilot 6 Agridia
9. CYSLOP SPECIFIC GOALS
• To work on the technology part by enhancing a FIWARE platform with tailored
IoT services for farmers regarding irrigation and plant protection.
• To incorporate traceability technology developed within the IoF2020 use case
“Meat Transparency and Traceability”.
• To foster IoT technologies’ market uptake by justifying benefits in cost
reduction
• To validate results to reduce plant protection product application and
increase irrigation efficiency, enable data-access for consumers to acquire
information about products, and to strengthen data sharing within agrifood’s
value chain taking into account privacy and security issues.
10. IMPACT CATEGORIES AND KPIs
Impact Category Key Performance Indicator Measuring technique Target
Economic impact Efficiency improvement Farm visits <20%
Cost of Pesticide use Ratio of initial kg product/ kg
input
5-10%
Cost of Water use Ratio of initial kg product/ kg
(m3)input
5-10%
Overall Cost reduction Kg input 10%
Environmental
impact
Pesticide use reduction Kg input 5-10%
Reduced water use m3 5-10%
Social Impact Increased IoT pilots in EU Number of new IoT pilots >23 devices
Increase IoT uptake by end users Authorized users in CYSLOP >30
CYSLOP data marketplace Authorized users in CYSLOP >20
13. IoF2020 is funded by the Horizon 2020 Framework Programme of the European Union.
Grant Agreement no. 731884. Visit iof2020.eu for more information about the project.
CONTACT INFORMATION
Theocharis Moysiadis
tmoysiadis@f-in.gr
George Adamides
gadamides@ari.gov.cy
Andreas Stylianou
a.stylianou@ari.gov.cy
Nicolaos Zotos
nzotos@f-in.gr
Marianthi Giannakopoulou
marianthym@ari.gov.cy
Twitter: @IoF2020
Facebook: IoF2020
LinkedIn: IoF2020
Web:
https://www.iof2020.eu/trials/vegetables/digital-ecosystem-utilisation
Hinweis der Redaktion
CYSLOP services are based on Future Intelligence’s (FINT) IoT technology.
In particular, the company builds inhouse the telecommunication hardware that reads the sensor/ actuator data and the gateway that masters the local area network.
This is based on an evolution of the well-adopted ZigBee standard (6LoWPAN) by the industry with the significant difference of native IP and low power consumption.
As you see in the schema, the sensor IoT controller (FINoT) acquires soil and air sensor data and wirelessly transmit them in the proximate FINoT gateway.
Hundreds of devices can be mastered by the same FINoT gateway and the network standard’s realtime 2 fold communication enable the critical functionality of irrigation programming.
From the FINoT gateway and through appropriate communication interface (3/4g, WiFi) the local system’s networked data reach the cloud.
FINT has built a FIWARE based agri platform (QUHOMA) that is now being built up with CYSLOP features and will be exploited by CYSLOP and additional commercial farmers.
WITHIn IoF2020 and WP4, a plethora of business models is explored in the literature and discussed with the various UseCases like CYSLOP.
QUHOMA, CYSLOP's ancestor, is a standard offering in which the customer pays a basic fee for the hardware and the access to software platform and then only needs a subscription per year.
In CYSLOP and upon our case's KPIs validation a pay per perfofmance proposition may be adopted correlating fees with irrigation and plant protection gains.
other models would be to price the user's interaction with the devices and platfrom charging the relevant API calls. This strategy is often followed in B2B relations.
another idea would be contract more than one farmers and facilitate hardware sharing among them. Thus, hardware cost per individual would be minimised however there may be issues on their effort allocation,
conditions of sharing and equipment responsibility/ accountability.
Last, bigger companies in the IoT domain may offer IoT devices as "door-opener" to sell additional data services. These can include banking services, crop insurance, cross-compliance insights or serve them
during governmental or private record keeping. CYSLOP may use this model to help producers interact with their consumers provided that content is constantly shared with them and the tools to realize it