We help farmers expand high tech farming techniques and solutions in order to develop the productivity of their day-to-day work
IOT also accounts for the various issues faced in Agriculture, arguably one of the biggest and fastest growing industries today with technology sky rocketing over the past few years. But again, with development in technology comes an increase in workload of management and increased risk of failure and problems.
IOT has made its way to agriculture over the years and is used to monitor and save many different climate and device status and functionality. With the introduction of sensors and smart devices in agriculture, farmers are now able to monitor crops and cattle in real time and always have eyes on the status and functionality of their equipment, effectively setting up predictive analytics to prevent problems before they surface.
Employ IOT, machine learning and data science machine learning to improve your business results.
Reduce downtime during planting, irrigating, fertilizing and harvesting. Detect equipment malfunction and repair in advanced
By making good decisions and more precise yield forecasting, by tackling data like live moist conditions and weather.
Associate all your field resource data into one view, apply data driven determination, to turn your resource- specific data into revenue-generating contingency.
To Understand preferred your field condition before set-up machines and people. Maximize effort efficiency by optimizing machine productivity utilization, and routes.
Avert unplanned downtime to keep resources up and running. Use anticipating analytics to make a better soil management, harvesting and irrigation for maximum output.
Predictive mechanical and environmental announce before they happen to overcome downtime and boost yield output.
At NEWitsystems we help farmers deploy high tech farming techniques and solution in order to improve the efficiency of their day-to-day work. By using sensors & smartphones, farmers can now Casually monitor their equipments and crops in real time, and utilize conjecturing analytics to predict when issues will happen.
Level 10 34 Shortland St,
Auckland, 1010, NZ