FEATURE : AGRICULTURE
THE LESSONS LEARNED IN AGRICULTURE CAN BE EXTREMELY BENEFICIAL AS LEADERS IN OTHER INDUSTRIES LOOK FOR GUIDANCE ON IMPLEMENTING SIMILAR TECHNOLOGIES .
from which other industries could benefit . With the proper preparation and implementation , cloud-based solutions have the potential to streamline operations , optimize resource utilization , and enhance productivity across various industries .
Maximizing costs , time , and resources
The digital transformation of the agricultural industry is driven by three key factors : connectivity , data and cloud computing .
To achieve the productivity that is essential to their operations , farmers need to be able to connect , view , and manage their equipment .
This is the underlying basis for precision technology .
By means of cloud computing specifically , technologists and farmers have been brought closer together , allowing for decisions to be made in real-time .
Cloud technology enables farmers to compute all kinds of different inputs ( weather data , fuel , water , seeds , pesticides , herbicides and more ) in real-time to help inform the decisions that will optimize a job : save on costs and increase their yield .
For example , how much seed and what type , how much water , what sort of fertilizer and how much of it is needed to make a crop thrive . The determined prescription both saves money and is more sustainable for the environment , limiting an overabundance of pesticides and fertilizer and only spraying what is needed – down to the precise droplet size .
All of this is possible due to smart algorithms which use data captured from sensors and IoT devices , as well as ML models of clustering , classification , regression and transformation to provide high accuracy and diagnosis of agronomic information .
These algorithms utilize neural networks and deep learning to predict and provide actionable insights that drive value to the farmer so they can make the most optimal decisions .
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