FEATURE : AGRICULTURE
But now , with the adoption of technologies such as AI , camera sensors , computer vision and ML , the agriculture industry presently leads the way in widely adopting and cultivating the use of cloud technology to meet the complex demands of farming .
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 .
In developing cloud strategies and fostering innovation , farming tech developments have become a source 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 .
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 .
To achieve the productivity that is essential to their operations , farmers need to be able to connect , view , and manage their equipment .
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 www . intelligentcio . com INTELLIGENTCIO LATAM 47