Farmers can derive useful insights from data analysis with agriculture. When combined with artificial intelligence (AI), farmers can make better decisions, which can lead to improved sustainability. Therefore, data analytics and AI have the potential to change agriculture in a profound way.
Advanced Artificial Intelligence
There are many advanced AI tools available for farmers to use to improve their crop and livestock yields. In agriculture AI refers to computers collecting as much information from fields as possible to measure what and how well it harvests is a great example.
Rapid Analysis
The use of AI in idea able agriculture is also a terrific opportunity for farmers, as AI can be used to identify diseases before they spread, limit pesticide use; advancements have put the power of rapid analysis and improved understanding of environmental conditions of specific fields in farmer's hands.
"Machine Learning"
Farmers have also been familiar with simple machine learning, but there are now more robust tools available in agriculture. Using data analytics farmers can provide data fitting of all their farmland, machines, inputs and outcomes; this level of analytics was not readily available 25 years ago surrounding how groups evolve across regions compared to other groups.
Driving an Industry
The technology giant 16Z is making a concerted effort to drive the agricultural industry into combining what they are doing with the power of AI and data analytics, enabling farmers to access all these tools and helping farmers adapt. Access to the abundance of data acquired today traces the supply chain and allows entrepreneurs, small businesses, large corporations and, ultimately, the farmers to progress.
How Data can Help Farmers
- Select the right crops based on soil type and growing conditions
- Ensure the correct timing for seeding, harvesting and processing crop
- Maintain a permanent baseline for seasons and harvested agri-products
- Costs and prices of agricultural inputs such as machinery and agri-products
- Capture movement of tools and technologies used in agriculture
- Adapt when environmental conditions change, and farmers can and will need to make changes.
Data-driven agriculture will enable the agriculture industry to enter into what appears to be a permanent "agricultural transformation" phase. We have finally arrived at a time where we have the hard evidence, support from governments, businesses, and the forms of collaborative learning to engage transformation and disrupt the agriculture sector.
Artificial intelligence and data analytics have only just touched the surface of agriculture advancements and have brought together an array of information that hasn't existed evidence from our past. Agriculture has emerged as one of the most amazing examples that now use AI and data analytics to advance all sorts of agriculture in numerous locations and people.
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