Top 4 use cases for big data on the farm

In response to the climate change and consumer demand and supply. Traditional agriculture needs some change in the way they cultivate.

Top 4 use cases for big data on the farm 

1.Feeding a growing population
A key challenge that government need to improve. Big data predict the whether will be in the following days and let farmer know what is the best time to cultivate.
2.Using pesticides ethically
Using difference pesticides will cause different  results. Only use pesticides according to the ecological environment in order to be sustainable.
3.Optimizing farm equipment
4.Managing supply chain issues
According to the reports that a third of food produced for human consumption is lost or wasted every year. To solve this problem, it need to reduce the cycle from producers to market.


Big data has a cloud-based ecosystem and has the right tools and software to integrate various data sources in order to truly change the agricultural field. These tools should be able to integrate data on climate, agronomy, water, agricultural equipment, supply chains, weeds, nutrients, etc. to help farmers make decisions.

source: https://www.talend.com/resources/big-data-agriculture/

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