Smart Farming is not just for large farms and research centres, but is starting to impact small and medium-sized farms, says Beecham Research, a leading IoT analyst and research firm that looks closely at the agriculture sector.
“The farming industry is very receptive to technical innovation and is already embracing IoT, using information from sensors, machinery and weather stations, for example,” said Saverio Romeo, principal analyst at Beecham Research. “It is the ability to capture, harness and analyse vast amounts of data to take informed decisions that is set to revolutionise the agricultural sector and is starting to deliver tangible benefits and measureable ROI (return on investment) for farms of all types and sizes.”
While the primary driver behind smart technology is usually to reduce costs, time and wastage, smart farming has also been proven to benefit other areas such as safety and welfare, health, nutrition and sustainability.
The number of applications for smart farming is also growing rapidly, including: yield measurement and quota systems, plant and livestock disease monitoring, remote machine control and diagnostics, greenhouse management, virtual fencing and livestock biology monitoring. And for areas such as high value crop and precision livestock farming, smart fishing and aquaculture, smart technology is helping to increase production efficiencies and generate higher profit margins.
From an IoT technology perspective, Beecham Research points to three key steps for smart farming: data sensing, data communications, storage and processing. “Farms need to have integrated solutions that bring together sensor networks, machine-to-machine communications, data analytics, management systems and applications development,” said Romeo. “Farm Management Information Systems (FMIS) with predictive capabilities are also critical to help farmers make the right decisions at the right time.”
Smart Farming White Paper published
Beecham Research points to companies such as Libelium, that are helping to deliver the vision of smart farming by developing an integrated approach to data sensing, communications, storage and processing.
Libelium’s technology is also connectivity-agnostic, open and interoperable to support a growing ecosystem of partnerships that brings together players in the smart farming value chain, from sensor and data analytics companies to cloud-computing and specialist agri-tech solution providers.
A Beecham Research White Paper published this week in association with Libelium explores a number of smart farming case studies including predicting vineyard conditions in Slovenia and Switzerland; preventing pests in olives, increasing tobacco crop quality and reducing time-to-market for strawberries in Italy; improving cocoa production in Indonesia; and preventing environmental impact in waste water irrigation in Australia.
“The overall smart agriculture market is growing across all types of farming and data sensing and data management services are fundamental to its success,” said Romeo. “Companies such as Libelium will play a major role in making the benefits of the IoT accessible to small and medium farms.”
“Small farmers and large landowners need help to approach and understand the potential of the IoT market by installing smart technologies to increase sustainability and competitiveness in their productions.” said Alicia Asín, Libelium CEO.
For a copy of the White Paper go to: http://www.beechamresearch.com/download.aspx?id=1051
The White Paper is part of a series of Beecham Research activities to promote the relevance of Smart Farming for the agri-tech community and in particular, the IoT community. Beecham Research recently contributed to the prestigious workshop, ‘Sensing Technologies for Land Management’, at Bangor University, discussing the potential of Smart Farming with top UK agri-tech experts. Robin Duke-Woolley, CEO at Beecham Research, will also be chairing the ESA (European Space Agency) event on M2M and IoT over satellite on Friday 8 July, where Libelium will talk about smart agriculture and farming.
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