Agriculture technology is radically changing the food chain, thanks to the most significant innovation happening in the progress of the precision farming approach. Together, automation and artificial intelligence are revamping agriculture, helping farmers work in new and efficient ways.
Today’s farms are powered by various technologies and devices, including GPS satellites, robots, drones and sensors, and by data. The combination of farming and automation may result in fewer obstacles and less friction for agriculturalists, for crop-based choices and communicating with the Department of Agriculture for permits.
However, these advancements are impossible without scalable and reliable data centers.
Helping Agriculturalists Know the Ideal Times for Planting Crops
Experience and educated guesses used to guide the choice of when planting should be done. Those things are coming into play even today, but so is artificial intelligence. AI technology helps farmers develop insights into crops, which help them choose the best time to plant these. AI processes the farming-related data and sends insights to their mobile devices. The technology provides notifications on planting details, like seed’s depth and place, which farmers should consider.
The use of technology is just right for small-time farmers. IoT is another technology that plays a big role in agriculture in smart farms. IoT sensors provide specifics on density, nutrient levels and so forth. With this information, agriculturalists can avoid several planting failures, which may have seemed inevitable before.
Enabling Researchers to Look Into the Finest Ways to Fulfill Future Needs
Farming and artificial intelligence make a great match for tackling the needs which the agriculture segment may face down the road. The University of Arizona in Tucson is among the facilities that boosts private investment in the aforementioned approach to farming.
The university researchers made the Maricopa Agricultural Center their research farm, where they are fine-tuning precision agriculture. In the farm, scientists apply automation and data to a wide variety of technology. Helping farmers discover how to reduce losses and at the same time maximize profits, is the objective of the facility. Those who participate there say that they wish to find answers to known agricultural issues.
For instance, some of the Arizona areas have issues with regards to irrigation, whereas other areas struggle with issues associated with pollution and contamination. At this university and elsewhere, several people refer to precision farming (PI) as an instrumental approach in addressing most of those challenges.
When using automation in any industry, people must track how efficient the technology is with regards to achieving their goal(s). Companies usually study three forms of metrics: efficiency, value and activity.
Better Visibility to Crop Conditions
Farmers have examined crops manually for years. They scooped soil or walked amid rows of crops to assess what seemed dehydrated or well-watered. Today, planes that are equipped with top cameras handle those responsibilities, taking more detailed photos that satellites provide. However, satellites offer captivating ways to assess crop conditions even today.
The implementation of drones propels growth in precision farming. Drones detect issues, including pest invasions and planting mistakes, which hamper the success of a business. Whether captured by a drone, a satellite or piloted plane, the outcome is images that are then processed in data centers.
Some of the companies provide dashboards, which enable users to get crop photos gradually and see in for themselves the ways these change. Voice recognition is a technology that helps farmers take action on the basis of what is shown. Even in these situations, there exists a need for help from data centers.
Helping Farmers Redistribute Their Tasks
When some think of farming and automation, they picture big facilities in which plants grow without human intervention. However, individuals help an automated farm operate, even though they do more different roles compared to the past.
Autonomous machines handle some necessities and requirements, like moving plants about the building, but people plant every single seedling and wrap up agricultural products for distribution. While the combination of farming and artificial intelligence is beneficial in several ways, it does not enable agriculture to work without human beings.
Autonomous farms gather real-time data and analyze the things that crops require at any particular time. People get instant notifications in the event a problem occurs. Data centers give reliability and infrastructure required for agriculturalists to delegate duties to robots.
Helping the Progress of the USDA Data Center’s Restructuring
The US government agency announced a big overhaul of its information technology infrastructure in 2018. To start, it intends to reduce the number of its data centers to just 2. However, there is a connection between farming and AI in that decision. The organization will make AI part of the call centers of it to accelerate the process of data hand-off. AI will also automate the procedures for permit application and loan application.
In addition to the intended uses for artificial intelligence, the USDA is also testing a platform, which can be used by individuals from all of its departments to make formal requests. As per a representative, the objective is for USDA’s workers to have greater experiences with its technology compared to what they use at home.