Agriculture

"I’m not sure people appreciate how much data farmers have, the challenge has been: What do you do with it? How can it help the farmer make decisions?"

David Fischhoff, Chief Scientist at Climate Corp at Monsanto

Agriculture


With an ever-growing population on the planet the farmers of the world are continuously looking for ways to meet the demands of consumers while faced with the conditions nature throws at them each year. Fortunately, advancements in Data Science have enabled crop growers to gain more of an edge than just experience can give. Through advanced analysis of a wide range of variables can help increase crop yield and increase levels of sustainability.

As the cost of sensor hardware has come down in recent years farmers are now able to get a real time overview of how their fields are performing and apply their expertise and resources more efficiently as a result. This is something that they have never been able to do before.

This sort of precision farming combined with real time predictive analytics can help farmers tackle environmental concerns, such as water usage and CO2 reduction, as well as their yield rates.

Predictive maintenance for machinery and tools means less down time and less money spent on unnecessary repairs as well.

The agricultural data revolution has great potential to enable efficient logistical planning that can help reduce waste and maximise efficiency of the land used.

Remote Sensing

Crop Identification

Disease Detection

Nutrient Deficiency Detection

Predictive Maintenance


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