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Global population is expected to grow by 70% by 2050, putting ever increasing pressure on agriculture to feed the world. At the same time land and water shortages, changing consumer patterns and a global trend toward preserving natural environmental resources such as soil quality add to the burden on farmers to balance the various demands.. So far, farmers have had monitor manually the condition of their livestock, environment or agricultural produce, even on large farms. Their property also requires safety controls and security protection against natural disasters, theft and accidents.
Until now, the implementation of automated monitoring and control systems has been limited by the poor coverage of cellular networks in many highly productive but sparsely populated rural areas.
Thanks to LPWA technologies, IIoT now enables detection, monitoring and control over very long distance (over 15 km) of a wide variety of key agricultural data:
Actility can connect and track virtually everything on a farm, from cattle to beehives! Using our advanced analytics and big data tools, combined with third-party information -such as weather services -farmers can now know when is the best time to plant or harvest crops.
ThingPark connected objects provide 24/7 visibility at a very granular level of soil and crop health, machinery in use, storage conditions, animal behavior and energy consumption. All collected data is available in a single dashboard, which allows farmers to get a complete overview of what is happening on their land without having to inspect in person.
Humidity, soil moisture and weather data can be analyzed continuously to automatically control irrigation where and when needed without human intervention. GPS tracking of livestock on huge farms, such as Australian cattle stations which can sprawl over up to 24,000 sq km of outback, allows the farmers and station staff to use their time for more value added tasks .Another key use case is to leverage precise information to plant crops, limit fertilizer usage and maximize yield. All these optimisations can result in a more environmentally friendly and sustainable agricultural practices.
Leveraging ThingPark advanced analytics and machine learning capabilities, automated systems can take preventative action to forestall developing issues: whether it is the irrigation system anticipating the need to water crops, or preventive maintenance of agricultural machinery before a fault occurs, thus avoiding expensive down-time or lack of critical resource, and consequent loss of money.