Agriculture, What Next?
Agriculture, What’s Next?
As technology becomes an increasing part of our everyday lives, more and more examples can be found in the agriculture world. A great example of this can be found in precision agriculture where farm machinery is getting connected to artificial intelligence and with websites and the management of big data.
It can even be found in the processing of seed, feed, food and grain where technology is beginning to play an important role in processing with new tools of (AI) artificial intelligence and blockchain.
This technology can deliver instructions in a farmer’s native language, including when to sow their crops and has led to a 30% increase in yields for those farmers. This is an example of a successful ‘App’ which was created by using the Microsoft Cortana Intelligence Suite, which includes machine learning and is powered by people in order to create the optimal date/best time to sow.
Farmers who participated didn’t need to install any special apps on their devices and could receive the information via text messages. These farmers in India sowed their seeds early and the ‘App’ was especially helpful during monsoon season.
This is just one example of how AI can help farmers to actually utilize their seeds in an effective and timely manner to help them with increasing their yields.
Processors can use AI in a very similar manner, by learning how to effectively manage their plant’s times which will increase their rate of return on investment and/or increase their KPIs.
AI has the ability to examine the tasks that are being performed, look at the big data and then determine insights and make predictions. It can be as simple as taking a “snapshot” picture of a business and giving a diagnosis of what’s occurring in the plant and what needs to happen. Or it can be more complex with many different aspects of many different controls, ultimately helping your business to ensure that there is excellent quality in the plant.
Ultimately AI is the automation of tasks. These tasks and the information garnered from them will never get missed. AI doesn’t seek out the replacement of key individuals in your process, instead it enhances their industry and experience knowledge and allows better and innovative decision making which helps companies become highly effective with increased KPIs.
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