Adama Agricultural Solutions is partnering with AgroWebLab, an Israeli agri-tech company, to introduce innovative decision-support systems into agriculture.
AgroWebLab has developed a technology that optimizes yields while using less agricultural inputs. This technology is currently applied for optimizing irrigation, and the collaboration with Adama will examine how this technology can be used for the application of crop protection and bio-stimulants, as well as other agricultural inputs. The partnership will be launched first in the Australian market, with additional markets to follow.
The technology developed by AgroWebLab, branded as ”SupPlant”, uses plant, soil, and environment sensors to monitor stress levels in the plant and sends an alert to farmers when levels rise, indicating the best time for applying agricultural inputs. The unique technology combines Internet of Things, cloud computing, and data analytics, to bring cutting-edge decision-support tools to the farm and enable growers to minimize the use of inputs while optimizing yields. ”SupPlant” has been proved to increase yield by 5% while saving 20% in irrigation water, on average.
Dani Harari, SVP Strategy and Resources at Adama, said “We are happy to launch our partnership with AgroWebLab to provide farmers with tools that enable the effective and efficient use of agricultural inputs, an important part of every farmer’s success. The combination of this advanced technology together with Adama’s global reach and deep domain expertise will further extend the value we bring to farmers all over the world. We aim to continue providing these and other valuable services and products to enable farmers to increase yields and help them grow.”
Zohar Ben Ner, Founder and Director of AgroWebLab: “We expect that our fruitful collaboration with ADAMA will allow us to explore and create cutting edge technologies that will enable us to develop solutions for sustainable agriculture, while striving for food and water security. Our closed-loop irrigation system powered by plant sensors, cloud computing and data analysis is part of this revolutionary approach.”