Digitalisation makes for more productive and sustainable farming

Farming and Food Technology Trends focus day at itelligence / HARTING MICA® controls all processes and procedures

Digitalisation is increasingly important in the farming and foodstuffs industries. Photo: © itelligence AG
(PresseBox) ( Espelkamp/Bielefeld, )
Progressive digitalisation is also increasingly important in the farming industry: data-supported targeted application of fertiliser and crop protection products, soil analysis sensors and autonomous operation are just a few of the buzz words in the current discussion around Farming 4.0 and Smart Farming. The potential of digital farming is the subject of the Farming and Food Technology Trends focus day organised in Bielefeld by itelligence AG in conjunction with the Technische Hochschule OWL, HARTING and other partners on 25th September 2019 (itelligence, Königsbreede 1, 33605 Bielefeld). The Technology Group presents HARTING MICA®, which enables the efficient use of arable land.

“Smart Farming can support more productive and sustainable farming via an accurate and resource-efficient approach, says Dr Jan Regtmeier, Director Product Management at HARTING IT Software Development. Regtmeier demonstrates application of the HARTING MICA® and its benefits for agriculture in Bielefeld. The Edge Computer controls processes and procedures seamlessly and records all of the relevant data. “This gives farmers security, also creating consumer trust,” Regtmeier continued.

Two application scenarios show how MICA® gathers data. In the first one, HARTING MICA® records data from two sets of scales, which are used to weigh tractor and trailer, recording the weight of maize delivered. The tractor is also given a single ID to ensure that it is uniquely assigned to the crop area. The data recorded is processed and sent to the Cloud for further evaluation. In the second application scenario, MICA records data during the critical mashing process. The data is then used for process optimisation with data analytics. “Data-supported farming allows for new approaches, ensuring sustainable food production now and in the future,” explains Dries Guth, Principal Innovation Manager and Head of the IoT Innovation Lab at itelligence. Data collated via sensors, from the soil and farming machinery and satellite imagery and fed into intelligent systems supports not only yield optimisation, but also the resource-saving application of water and crop protection products. “It is also about exploring new forms of food production, as we are now seeing with the successes in Urban Farming and Vertical Farming for example,” adds Dries Guth.

“The potential for Smart Farming is huge,” says Regtmeier with conviction. “The farming industry has only just begun to make use of digitalisation.”

itelligence

itelligence AG transforms IT landscapes and business processes through the combination of innovative SAP software and technology with services and products developed in-house.  As an SAP Global Platinum Partner, itelligence supports SMEs and large enterprises in every phase of their digital transformation. itelligence’s range of services includes IT strategy and transformation consulting, software deployment and implementation, as well as application management and managed cloud services. The excellence of these services is built on the foundation of itelligence’s local presence, global capacity, and comprehensive industry expertise. itelligence partners with customers to create new and innovative business opportunities through the use of IT – for each facet of the customer’s business. Thousands of satisfied customers have placed their trust in itelligence, many of them since the company was founded 30 years ago. itelligence’s contribution to innovation and long-term business success has been confirmed by numerous SAP awards and leading market analysts.

itelligence is part of the global NTT DATA group and employs over 8,500 people across 26 countries. In 2018, itelligence generated 926.6 million euros in total revenues.

https://itelligencegroup.com
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