Farming is the cornerstone of the human civilization. As a result, the demand for labor and services in this sector will always be highly significant. This means that many companies are likely to be interested in investments within this sector, leading to tremendous competition within it. If you’re reading this article, you’ve most likely encountered this significant level of competition and want to find a way to overcome the pressure on your business. AI-powered farming can be the answer to your challenges these days. In this article, we’ll look at the concept of an agri copilot, the main goal of which is to improve efficiency in agriculture through artificial intelligence.
What is Artificial Intelligence Currently Capable Of?
Before we transition to the issues related to AI-powered farming, let’s take a careful look at the capabilities of artificial intelligence in the modern world. So, what is artificial intelligence capable of today? Above all, you have to understand that it’s still not human-like. For the most part, AI tools represent complex algorithms that can approach human-like behavior but never fully mimic it. Thus, an agri copilot is a technology that won’t be able to remove human labor altogether, for example.
At the same time, the algorithmic nature of the technology doesn’t mean that it’s necessarily incapable of complex actions. In this respect, current data clearly shows that AI can produce human-like texts, for example. Considering the complexity of human language, it’s not difficult to guess how powerful this technology is.
How does AI achieve this, and why is it relevant to agriculture? Artificial intelligence aims to produce human-like texts or any other human-like content through its focus on analyzing tremendous amounts of human-produced information. For example, generative AI, capable of writing high-quality texts, is notable for its ability to analyze masses of human texts. Based on them, it produces high-quality responses.
AI Principles in Agriculture
Artificial intelligence works along similar principles in the agriculture sector. It analyzes tremendous amounts of information about the field to produce high-quality predictions. A pre-made AI copilot for the agriculture sector is an app that analyzes terabytes upon terabytes of data. Using this advanced training in its internal model, it can analyze your business and offer unique insights based on its algorithms.
The main principle of AI in agriculture is to use information from the whole sector to help your business. In turn, your information (of course, anonymized; additionally, all core models offer an opportunity to opt out of training) can further train the model and make it even more potent, enhancing the sector’s potential even further in the long-term scenarios. Therefore, this technology is so vital in the current conditions. It allows you to accumulate the collective experience of many businesses to find problems in your processes.
Why Copilot and Not AI Worker?
Nonetheless, it’s important not to overstate the capabilities of AI models. They can serve as copilots and provide additional help but should never be a substitute for human workforces. Why is this the case? The reason is quite simple: artificial intelligence sometimes hallucinates. It’s capable of making up information based on specific inputs. In this light, it’s impossible to give all the tasks to AI and hope it will do everything flawlessly. AI is correct in 95% of cases but can be wrong in 5%. This means that AI is a perfect copilot, but not a good worker.
How To Use an AI Copilot in Agriculture?
The primary usage of AI copilots that we see as essential for agriculture is to serve as an assistant for human workers. It’s not meant to substitute humans but rather enhance their everyday work. What exactly can this technology do? Here’s a list of its core capabilities as we see them today:
- Analyzing data from sensors and summarizing it in a comfortable text-based or even voiced format;
- Offering analytical insights based on its algorithmic models and accumulated knowledge;
- Performing simple automated tasks, such as pre-established calculations.
- Delivering summaries of vital information, such as reports.
Let’s look at those use cases on examples that are close to real life. Firstly, you can ask AI to offer its opinion on the information from multiple sensors. It can offer a summary of the input from those sensors and provide you with advanced algorithmic insights. For example, slight temperature changes may seem trivial, but AI can find negative trends early on by analyzing its vast database of information. As a result, it will alert you about the problems based on its predictive approaches earlier than any human.
Some other use cases for this technology are also quite interesting. An AI copilot for agriculture can regulate temperatures in specific greenhouses, for instance, if the task isn’t too complex. Moreover, if you have to work with many reports in your business, it’s possible to use the technology to offer quick summaries of the documents. All in all, the technology is a perfect framework for making the everyday functioning of your business easier. It removes many tedious processes and, more importantly, makes it possible to focus on higher productivity in general.
Conclusion
The presented information indicates that AI copilots are a worthy investment for modern agricultural businesses. The main goal of these copilots is to make the work of your experts generally easier and remove many tedious processes from their everyday list, such as the analysis of sensors.
Do you want to develop an AI copilot with an agriculture focus for your business? In that case, the best option is to look for companies with more than 5 years of experience and many projects, including those in the agriculture sector, like Keenethics. Using their help, you can create a product that will close a large number of your development requests.
