Problem statement

In 1960, 2 people was fed by 1 ha of land, and in 2025, the same land will have to feed 5 people. We need to produce more with less, which means broader adoption of Precision Agriculture (PA) technology.

The problem with PA is that existing solution are expensive and vendor locked, current detection methods are manual, uncalibrated and unreliable, and consequently there is a lack of timely insights for a wide range of farmers. Adoption for the PA is thus low, and is <20% even in the developed countries.

Solution

Plant-O-Meter: Low-cost, open for integration, optical IoT device with decision support. Intended for usage as a handheld device, or integrated with machinery.

It detects: drought, heat, malnutrition and pest-related stress, before it can be detected by visual inspection. By using this technology, the following effects can be expected:

• 1/4 reduction in fertiliser costs
• Reduction of carbon footprint
• 3-4% yield increase for cereals and oilseeds

Currently, we test the Plant-O-Meter device on the locations in Serbia, India and Japan, to gain the calibration data for recommendation system. The custom integration includes data connections with central console at the machine/vehicle, and automated control of the fertilizer dosing.

More information on: www.biosens.rs