Will AI, Big Data and Analytics Feed 7 Billion People
Farming is undergoing a dramatic evolution with increasing stress on resources due to over-population and deforestation. Add to it, the negative impact of scarcity of water, fluctuation in seasonal weather, inadequate rainfall, flooding and global warming.
According to a report, half of the plant crops that we are consuming today may be extinct by 2040.
By 2050, nearly all exotic fruit varieties would either be extinct or endangered beyond revival. This has never happened in the last 70 million years of Earth’s existence since the meteors wiped out the dinosaurs. We are seeing another potential annihilation in the coming decades.
Can we beat this annihilation with Big data, AI ML, and analytics?
Let’s find out.
Data scientists think that Big Data could be a potential savior.
Big Data is making an electrifying impact on every aspect of our society. And, farming and agriculture could no longer stay untouched for long in this regard. To feed 9 billion people on earth in 2050, we need to rely on more than just smart farming. We need to rise up to the gigantic global food demand using Big Data, Analytics, AI and Internet of Things.
Honestly, I think that Big Data Analytics could solve our perennial food shortage challenges.
Digital Farming Arrives
Today, we expect everything to be digitally enhanced, and farming technology could be the biggest beneficiary in improving mechanics of Big Data. We will see automated farming and drip irrigation techniques working round the clock on arid lands, deserts and shorelines to produce a wide variety of food crops, meat and other dietary sources.
Digital farming will apply to the entire value chain of agriculture, starting from selection of land, to seeding and crop varieties, to finally delivering it to the crop storage and delivery portals.
Farming with Predictive Intelligence
Predictive Intelligence powered by AI and Machine Learning for farming and agriculture can solve complex challenges in logistics, transportation, storage and processing. From meeting market demands where there is an excess requirement to moving out wasting food to areas of deficit, Predictive Intelligence can help optimize supply and demand effectively.
In one of the leading AI conferences, Intel had explained their capability in providing AI systems that can help to optimize crop yields.
Era of Computer Vision Not that Far
We all know the potential of satellites in helping farmers deal with weather change in advance. But, we will go a step ahead where Computer Vision and Image Recognition techniques will land on a farmer’s field to check seeds, fruits, and leaves to detect ripening time, locust attack, fungi infections and so on.
By getting a Big Data Certification in Bangalore, you will have an optimistic chance of working with the likes of Intel, IBM, and Google AI teams and others. These companies hold the promise of driving a digital revolution in Agriculture and Farming industry.