Max-Eyth-Allee 100
DE 14469 Potsdam
Ms. Nicole Brandes
Products and new innovations

ICT for supporting water efficiency in orchards

ICT for supporting water efficiency in orchards

Sensor- and internet-based information and decision support solutions support to improve water use efficiency in fruit growing.
The data acquisition by means of in-situ sensors directly on the fruit enables to characterize the state of fruit growth and development in orchards. By applying modern information and communication technology (ICT) and based on the fruit information, both plant physiology and agronomic models are used to implement decision support for resource-efficient precise horticultural production. This enables to support risk-benefit decisions along the entire food supply chain: from demand-optimized irrigation, harvest and storage recommendations, to fruit marketing.

App Developments (Smartphone Apps available in the Google Play Store)

Cherry harvest size
The app analyzes the fruit size development of sweet cherries and uses the variety and location-specific maturation pattern to determine the best harvest date for marketing.

Sensors provide in-situ fruit data as long as the fruits are still growing on the plant or lateron in the storage.

Water balance
Project AquaC +

Further information: Leibniz Institute for Agricultural Engineering and Bioeconomy e.V. (ATB)

Company profile

The Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) is an internationally acting research center at the interface of biological and technical systems. Research is aimed at sustainable intensification and tackles the knowledge-based, site-specific production of biomass, and its use for food, raw materials and fuels - from basic research to application.
ATB’s research in the field of precise culture processing in horticulture focuses on determining the habitus (crown volume, indices on leaf area index estimation and water condition), on non-destructive spectral-optical analysis of the harvest product and on the use of such systems for the comprehensive non-invasive characterization of relevant plant characteristics (phenotyping). The measured data is collated to increase yield and fruit quality and simultaneously decrease resource requirements, particularly irrigation water. For this purpose, we develop bio-physical methods for the automated recording of plant parameters.