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Data Science Links Water Efficiency with Crop Sustainability

The better the data and curation tools, the more integrated otherwise seemingly distinct disciplines involving 1) state water conservation and efficiency coupled with 2) crop farming sustainability.

 

As is, water use efficiency (WUE) studies the amount of carbon assimilated as biomass, or grain produced per unit of water used by a crop. WUE is usually calculated based on the grain yield or total biomass produced per unit of water consumed by crops. WUE’s functional utility thus spikes with more and better data from mutually beneficial – and similarly, perishable – commodity classes.

 

Data science can help water facility managers save money, reduce risk, and increase efficiency in water management while also helping crop stakeholders accurately predict soil water patterns, manage acute grower property water resources, improve crop yields (I.E., predicting advancements from supplemental irrigation), mitigate environmental risks, plan for specific and extended fertilizer requirements, know what to plant and when to harvest, and generally get ahead of farming problems per region.



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