Computerised farming increases crops, creates high productivity and ensures the best conditions. The future of the agriculture industry is directly tied to new technologies as well. Artificial intelligence (AI), machine learning, big data, Internet of Things (IoT), and other terms have already become part of advanced farming.
New technology has been the most significant contributing factor to the agricultural revolution over the past few decades. Since the introduction of the first automated agriculture vehicles and GPS navigation, the industry has changed significantly. This article shares the best examples of implementing computer science in agriculture. Also, you can find the latest trends to follow if you are interested in building an automated farming system.
- How Computerised Farming Changes The Industry
- The Best Practices in Computerised Farming
- Cprime Studios Case Study: Feeding System For a Pig Farm
- Final Thoughts
How Computerised Farming Changes The Industry
It is hard to imagine how farmers can run their businesses without an innovative farming system. Precision agriculture is going to reach $43 billion by 2025, according to research. Those are pretty impressive numbers for a technology field that was only created in the 1990s with GPS technology. But first, let's define what computerised farming, otherwise known as precision agriculture, is.
Almost every farm uses some technology for efficiency. A few years ago, the Media Lab's Open Agriculture Initiative presented research on creating ideal conditions for growing basil. The idea was to use intelligent farming equipment to define the best environment for the herb because ideal conditions maximized the concentration of flavor molecules, which made the best-tasting basil. In 2019 they called this technology adaptation cyber farming. Since then, this term has evolved.
Below we outline how the agriculture industry benefits from computerised farming. Smart farming system and technologies
- increase the production of food
- decrease operation cost
- improve the quality of products
- save water (with a prediction system, farms can use water only when it is needed)
- reduce the environmental footprint (smart farming technology ensures efficient usage of natural resources)
- automate processes (many farms fertilize fields with drones, for example)
- provide the ability to manage the farm remotely
- allow for data analysis and predictions for better farming
The use of GPS technology in farming was in 1990 by John Deere. The company used the technology to turn their tractors into computers. With GPS controllers, farmers could automatically steer the equipment using field coordinates. As a result, they save time and decrease the number of seeds and fertilizer used, as well as save fuel. The most important thing is that they optimize the farm management system.
The Best Practices in Computerised Farming
- AI for cow farms
An excellent example of using AI for efficient farming. Keenan developed a wagon-based system to check the nutrition of cows on a farm. Every morning, specialists upload the list of required nutrients for the cows. Sensors in the wagons weigh everything farmers put into the food mixer, and as a result, this computerised farming system ensures the quality and accuracy of nutrition for the herd.
- Maximizing flavor with automated farming systems
There are a lot of names for this kind of farming, including vertical and urban farming. Advanced technologies built on machine learning ensure progressive conditions for plants growing in shipping containers. The system provides the best environmental conditions, including temperature and humidity. For instance, one such farm can produce thousands of lettuce heads every week in Japan. MIT also has a similar research farm. They use it to improve hardware and ensure a continuous information exchange for urban farms.
- Research on climate adaptation
An essential point in computerised farming is researching how different plants adapt to climate changes. It is difficult to predict how other crops will react to climate change. But all those conditions can be modeled with AI and smart farming. For instance, OpenAg provides research on hazelnuts grown in different conditions, with a food computer to grow plants in controlled conditions. This computer is also used in US schools for plant experiments.
- GPS soil sampling for agriculture planning
It is also interesting to look at how GPS can be used today. The first advanced technology in farming can be applied to soil sampling. It can collect the soil, provide accurate analysis and create a map for farming. The most essential things in this application are data storing, analysis and farming predictions.
- Sensors to track the temperature of livestock
GPS tracking sensors can be used to track the location of cows. An Austrian company has now developed a sensor that can be swallowed by a cow. This sensor will stay in an animal's stomach for the rest of its life. The computer in this sensor can access temperature, movement, stomach acidity and send the data to the farm's platform.
Cprime Studios Case Study: Feeding System For a Pig Farm
Cprime Studios has worked with different automatic farming solutions in recent years. We created software for managing mushroom farms, automated control systems for farming, and an IoT-based hydroponic greenhouse with a neural network. One of the cases we would like to share is how we created a feeding system for a pig farm, which we realized with Wivion company.
The solution we worked on provided an automated feeding system for a pig farm and managed the ingredients and amount of feed. Moreover, it distributed portions of food based on specific settings and times. It was a completely automated system for the farm as all the data can be accessed from a PC or mobile phone.
The future of agriculture is here. We covered advanced modern solutions that have already changed farming and improved daily life. Smart farming equipment increases crops and determines the ideal conditions for plant growth. In this way, computerised farming is an excellent solution for decreasing food insecurity globally. Moreover, advanced software makes farming more accessible, productive and predictable. If you want to create unique software for agriculture, you should contact specialists at Cprime Studios.