FREMONT, CA: The food requirement is going heights with the growing population and to meet these increasing demand agriculture should update with newer technologies. With technologies in the house of agriculture, it gives a boost and makes it more flexible to the farmer's earnings, thereby boosting the growth of crop production. Among the technologies, big data is anticipated to deliver a massive impact in the coming years. Big data technology has no shortage of use cases within farming. Some of the more prominent ones are here.
Big data helps to predict the yield accurately with the use of mathematical models to analyze data around the crop. Predicting crops allows farmers to extract insight on what to plant and when to plant it. The use of sensors for gathering data means that only a small amount of manual work is required to hand each business an instruction manual on how to guarantee the best return from their crops.
It is one area that is becoming more influenced by connected device and algorithms. With big data, it is possible for the farmers to have a view to evaluating the chances of events like crop failure, and even improve feed efficiency within the production of livestock.
Spoilage Prevention and Addressing Hunger
The collection of data around factors like humidity, temperature, and chemicals will give a picture of health around the smart agricultural business. For growing the crops irrespective of the climatic challenges, many scientists have been analyzing the plant data. Chemically engineered crops are one of the best solutions to stop hunger. When compared to conventional crops, these plants produce more yield.
Automation and Equipment Management
Due to the advent of big data, automated farming tools like farm-bots, drones, smart sprinklers came into existence. Drones mounted with advanced sensors can update data, monitor crops, notifying the area needed for improvement. Big data has a role in aiding various aspects of the routine tasks of an agricultural business. Equipping sensors around farming machinery can provide valuable data to manage and maintain farming equipment to reduce downtime and increase productivity.
All the above use cases work to create a collaborative, data-driven agricultural industry that operates in new, and innovative ways to walk towards fruition.