The first reason to choose Keenethics as a developer partner in an AI copilot for agriculture management project is our strong expertise regarding agriculture development. Our teams helped develop advanced projects in the sector, such as My Grass Growth. Thus, we know what an average agricultural company on the market needs and understand how to work with them properly.
AI Copilot Development for Agriculture
What Are The Core Functions of AI Copilots?
Big data collection and storage tools
Modern software and hardware enable data collection automation. Various cutting-edge sensors (for instance, RFID devices) can connect to computers, creating a tremendous mass of data for further analysis. One person is now capable of collecting more data than a whole department of specialists in the past with the assistance of Big Data tools.
Machine learning frameworks
Modern machine learning is the basis of AI. You can train a model on various types of information to enable high-quality predictions in the future. For example, an already pretrained model for farmer businesses can be further trained on your data to offer you data-driven predictions about the state of your fields or livestock. The flexibility of those tools is immense: they can work with almost every type of business where data is quantifiable.
Generative AI assistants
A defining element of a copilot is a generative AI system. Its goal is to take information from a machine learning framework to then offer you high-quality analytical reports. These systems can do both pre-scheduled analysis and, in many cases, gen AI technology is also capable of answering user-generated questions at any time. The easy-to-use text-based functionality of those tools is crucial for turning specialist-driven systems like machine learning tools into user-friendly analytical tools available to everyone.
Integration tools
The final element of any high-quality AI copilot for agriculture is the capability of integrating with popular services used in the relevant industry. In this regard, you should have the ability to work with core operating system platforms like Windows, Linux, and Mac as well as integrate your copilot tool with the most popular frameworks on the market. In this way, it’s possible to collect the best agricultural insights.
Main AI Copilot Functions for Agriculture Company Management
Why Choose Keenethics for AI Copilot Development?
Experience in the agriculture field
Knowledge of AI development
The Keenethics team is also focused on modern AI use cases, helping implement this technology into divergent tools on the market. For this reason, we can use our expertise to help you with integrating artificial intelligence into user-friendly solutions in the agriculture field. Our team knows how to work with both generative AI and solutions that involve some form of machine learning.
Advanced UI/UX knowledge
Lastly, we also actively work on UI/UX design knowledge in our company. A proper user interface is among the best frameworks for getting valuable insights about different forms of agricultural business aspects. In this respect, the Keenethics team understands how to develop advanced dashboards and is aware of how to make various options and settings user-friendly and understandable. We’ve performed multiple UI/UX audits for diverging companies, having a strong understanding of various aspects related to successful interface creation.