With all new technology, questions abound - so we've provided answers to the most common ones here.

What does GAIA stand for?

Geospatial and a little extra

The name was inspired by the Greek deity, Gaia. According to Wikipedia, she “is the personification of the Earth and one of the Greek primordial deities. Gaia is the ancestral mother of all life: the primal Mother Earth goddess.”

GAIA is also an acronym descriptive of the software: “Geospatial Artificial Intelligence for Agriculture”. The term ‘geospatial’ refers to geospatial analysis, which is an approach to applying statistical analysis and other analytical techniques to data which has a geographical or spatial aspect.

Can GAIA monitor plant health?

Yes, specifically disease detection

Viral and fungal trunk diseases can and have been successfully detected using multispectral satellite imagery.

Additionally, detection has been achieved for a variety of diseases before symptoms are visible to the naked eye.

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Can GAIA assess soil moisture?

Yes, in varying degrees

Mapped regions of relative high vs low moisture can be assessed without need for any field sampling at shallow root zone (±20cm depth).

When combined with modest field sampling, more area-specific soil metrics can be estimated.

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Can GAIA gauge fruit quality?

Yes, to a degree

GAIA can distinguish areas of good quality from areas of poor quality, based on satellite imagery alone. This can be used to inform split-picking schedules, and other critical decisions.

Over time, as GAIA continually learns and becomes smarter, we expect her to offer more predictive insight into the grade of fruit for specific areas.

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Want to Know More?

Get in touch to find out how GAIA can improve the decisions of your agricultural organisation.