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Optimized agricultural output starts with mapping farmland using 🚜🌽πŸ₯”

Agriculture is feeding the ever-growing population of the earth and at the same, is facing multiple challenges. No wonder, that a lot has happened since the Harvard Business Review named agriculture to be the least digital industry in a 2016.

Many startups are trying to disrupt the industry with agriculture tech (Agtech) to optimize the cultivation of plants and livestock and to tackle challenges such as rising demand, stricter regulations, increasing production cost, labor shortage, and consumers demanding transparency about the entire food supply chain.

State-of-the art technology like remote-controlled or autonomous machinery and equipment as well as drones and robotics are entering fields and farms. Biotech is applied to seeds and chemicals in agricultural laboratories. Digital platforms are created to connect farmers with advisors, suppliers, retailers and labor.

Most of the modern Agtech applications have one thing in common: They require the farmland and the infrastructure to be digitally mapped in detail to cater for the spatial aspects. For instance, comparing different seeds, chemicals and foods used in certain areas to the output. Or tracking of livestock movements to monitor health and output depending on the whereabouts. Combining both provides essential information to holistically optimize farmland allocation. Another popular use case is to monitor machinery and equipment movements to optimize the utilization and distribution and to enable predictive maintenance.

An area of a shape is removed with the cutting feature
An area of a shape is removed with the cutting feature

The Editor enables farmers of the world to create detailed geospatial information about their agricultural land in order to either enter the Agtech space themselves or to fuel the established and aspiring solutions out there.

An circular field is being mapped with the circle drawing feature
An circular field is being mapped with the circle drawing feature

A lot of initiatives aim to automate the mapping of farmland using satellite image processing or IoT devices. While we share the opinion, that technologies like that have huge potential, we strongly believe that for now and the foreseeable future, nothing beats the experience and the knowledge of farmers when it comes to local specifics, temporary adjustments and reactions to ever-changing realities.

Start mapping farmland today with the Editor. Reach out to us, we are here to help and open for suggestions.

Find out how Geoman can help your business manage, visualize and distribute your geospatial data faster, more efficient and convinient.