How and why we built our Smart Farm

The Smart Farm of Bioeconomy Campus project (2021–2023) developed a unique hub of Smart Farming technology. The resulting Smart Farm aims to accelerate the adoption of smart technologies in farms according to the United Nations Sustainable Development Goals (SDGs). Therefore, at the Smart Farm, near-market technologies and services are tested, developed, and demonstrated. The aim is to remove barriers to their adoption and accelerate innovation in the sector, significantly increasing the benefits for farmers and the related agricultural industry. The foundation of the Smart Farm is based on processing various types of data. In the project, data was intensively collected from 16 hectares of test plots where barley was cultivated. Regular measurements were taken from the soil, crops, and from machinery and tractors equipped with ISOBUS technology. Measurements included the use of wireless soil sensors (20 units), drone imaging (RGB, multispectral, and thermal cameras), satellite images, and tractor telematics data. Additionally, the usability of the 5G signal in machine guidance was measured. Based on the collected data, precision farming was planned and implemented. Automated field navigation with headland automation was compared to traditional manual driving methods. Using GIS, maps such as profitability and energy consumption maps were generated from the data. The project developed a Farmer's Data Repository, through which a farmer can license their data to the desired destination via a data delivery service. The project also demonstrated the operation of such a system, compliant with EU data regulations, in collaboration with partner companies. A comprehensive project, the Finnish Future Farm (2023–2026), has begun based on the foundation of the Smart Farm, involving companies, educational and research organizations, farmers, and stakeholders. The project will build a digital twin of the physical Smart Farm, both of which will be utilized in R&D, experimentation, and education.The Smart Farm of Bioeconomy Campus project (2021–2023) developed a unique hub of Smart Farming technology. The resulting Smart Farm aims to accelerate the adoption of smart technologies in farms according to the United Nations Sustainable Development Goals (SDGs). Therefore, at the Smart Farm, near-market technologies and services are tested, developed, and demonstrated. The aim is to remove barriers to their adoption and accelerate innovation in the sector, significantly increasing the benefits for farmers and the related agricultural industry. The foundation of the Smart Farm is based on processing various types of data. In the project, data was intensively collected from 16 hectares of test plots where barley was cultivated. Regular measurements were taken from the soil, crops, and from machinery and tractors equipped with ISOBUS technology. Measurements included the use of wireless soil sensors (20 units), drone imaging (RGB, multispectral, and thermal cameras), satellite images, and tractor telematics data. Additionally, the usability of the 5G signal in machine guidance was measured. Based on the collected data, precision farming was planned and implemented. Automated field navigation with headland automation was compared to traditional manual driving methods. Using GIS, maps such as profitability and energy consumption maps were generated from the data. The project developed a Farmer’s Data Repository, through which a farmer can license their data to the desired destination via a data delivery service. The project also demonstrated the operation of such a system, compliant with EU data regulations, in collaboration with partner companies. A comprehensive project, the Finnish Future Farm (2023–2026), has begun based on the foundation of the Smart Farm, involving companies, educational and research organizations, farmers, and stakeholders. The project will build a digital twin of the physical Smart Farm, both of which will be utilized in R&D, experimentation, and education

Viljelijän datavaraston liittäminen maatalouden data-avaruuteen

Tässä tutkimuksessa esitellään Jyväskylän ammattikorkeakoulun Biotalouskampuksen Älymaatila -kehittämishankkeessa (2021–2023) kehitetty Viljelijän datavarasto ja sen liittäminen maatalouden data-avaruuteen Tritom-palvelun avulla. Tutkimuksen tavoitteena oli tutkia Viljelijän datavaraston liittämistä yhtenäiseen maatalouden data-avaruuteen ja todistaa tiedonsiirron onnistuminen kahden eri datalähteen välillä. Tutkimuksessa todettiin, että Viljelijän datavaraston liittäminen data-avaruuteen Tritom-palvelun avulla oli onnistunut. Datansiirto demonstroitiin kahdessa demossa, joissa Yield Systemsin satoennustedataa visualisoitiin datavaraston tarjoamalla karttapohjalla. Tutkimuksen tulokset osoittavat, että maatalouden data-avaruus avaa uusia mahdollisuuksia maataloudelle, kuten datan arvonluonti, innovaatiot, päätöksenteko, optimointi ja kaupankäynti. Datan jakaminen ja yhdistäminen eri toimijoiden ja alustojen kanssa lisää datan arvoa ja mahdollistaa uusia yhteistyömuotoja. Tutkimuksessa todettiin myös, että maatalousalan yritysten liittyminen datan välityspalveluihin, kuten Tritomiin, on erityisen tärkeää maatalouden data-avaruuden hyödyntämisen kannalta. Kunnollista data-avaruutta ei voi rakentaa, jos yritykset ja maanviljelijät eivät halua jakaa dataansa

Älymaatilan tietojärjestelmien integrointi

Älymaataloudessa maanviljelijät käyttävät erilaisia teknologisia ratkaisuja, kuten maaperäsensoreita, lennokkeja ja maatilanohjausjärjestelmiä, parantaakseen maatilan toimintaa. Näiden teknologioiden avulla viljelijät voivat seurata maaperän kosteutta, kasvien kasvua, sadonkorjuuaikaa ja muita tärkeitä tekijöitä tarkasti ja reaaliaikaisesti. Jyväskylän ammattikorkeakoulun Biotalousinstituutin Älymaatila -kehittämishankkeessa tutkittiin ja kehitettiin viljelijän tietovarasto. Älykkäitä teknologisia ratkaisuja hyödyntävät maatilat tuottavat suuria määriä tietoa mutta ne ovat jakaantuvat laitevalmistajien tietovarastoihin. Kehityshankkeen tarkoituksena oli yhdistää Biotalousinstituutin älymaatilalla olevien tietolähteiden tiedot keskitettyyn tietovarastoon. Tietolähteinä toimivat maaperäsensorit ja lennokilla otetut ilmakuvat. Tietovaraston luomista varten määriteltiin erilaisia vaatimuksia tietojärjestelmälle ja sen tulevaisuudelle. Vaatimuksien perusteella toteutettiin teknologiset ratkaisut, joiden avulla tietolähteiden integraatiot ja tiedon hyödyntämistä koskevat operaatiot toteutettiin. Kehitystyön tuloksena toteutettiin palvelin- ja tietokantaratkaisu, joka mahdollistaa tietojen integroinnin ja hyödyntämisen käyttöliittymään.Smart farming takes advantage of multiple different technological solutions such as soils sensors, drones and farm management systems to improve daily operations on the farm. Farmers use these technologies to monitor soil moisture, plant growth and other qualities of farm fields. These new technological advancements allow accurate and real time monitoring. The Jyväskylä University of Applied Sciences Institute of Bioeconomy's Smart Farm development project is researching and developing a farmers data warehouse. Smart farming produces large qualities of data which is usually saved to technology providers database. Development project wanted to integrate data sources from the smart farm of Institute of Bioeconomy into a centralized data warehouse. Data sources were soil sensors and aerial photographs taken by drone. Requirements for data warehouse were chosen at the start of the project. Based on these requirements, technological solutions were implemented to perform data source integration. The outcome of the development work was the implementation of a server and database solution that enables the integration and utilization of data in the user interface