Connecting AI and Agriculture

Our Skills.

Agriculture

We engage in the implementation of state-of-the-art technologies in the area of Agriculture. In this area we deal with the lifecycle of the orchards (Avocado, Mango, Banana and more) from the beginning of the season, the cultivation, irrigation and fertilization, spraying, picking and sorting the fruits and with the delivery to the market. All these activities are under control of information system where we can monitor the amount of each material which used in this process.
For all these activities we have the abilities to help the farmer from different point of views: characterization, analysis, consulting, and installing production processes, logistics, marketing, etc.
Our DIH (Digital Innovation Hub) has strong connections with big farmers association in Israel from one side and with many private small famers from other side. From time to time, we use their fields for pilots of our technologies (As an example they did dep research about the growth of Bananas and they do not use any chemicals in this fruit).

Complex text

We implement Artificial Intelligence methodologies for the purpose of analyzing ancient texts. These methodologies include: "Random Forest" algorithm to identify repetitive categories of texts and "Attention" algorithm for building automated tables from the text.
We have knowledge and technology in the field of analyzing ancient texts and turning them into information tables for further research and reading. The main implementation is made on complex Jewish texts that are 2000 years old. Our technology makes the information accessible to the reader in a clear and easy-to-understand way.
Our current system (sysgad.com) contains the entire Jewish Talmud 5400 pages (2700 two sides) with about 70,000 paragraphs. So far, we have handled about 10% of the text manually. For each paragraph or group of paragraphs we built a manual table and defined a category. The system uses "Random Forest" for learning the manual categories and can automatically identify the categories in the rest of the text at a very high level. In addition, the system uses "Attention" from the world of Deep Learning to build a model from the manual tables. And using this model to build automated tables on the rest of the text. This system can be applied to texts from different worlds to make them accessible to both ordinary people and people with certain disabilities.

Technologies

Among the technologies, which mentioned above, we deal with: AI/ML, IOT communication, Cyber security and Web apps. In the AI field we develop new models for Natural language Processing (NLP) where we build standard database-tables: records and fields from free text with PyTorch Rnn/Attention algorithms. This standard database can be used for later use with standard tools like SQL or BI tools.
The IOT communication and Web apps are the base of our monitoring of the whole chain of the data from the orchard to the farmer through ML tools like Linear Regression and Random Forest for converting the data to knowledge.
Hadas Bar provides a high-quality solution for the comprehensive management of a complex organizations. Our solution meets legal and time requirements. It is a flexible, adaptable, user-friendly, secure and protected system that is suitable for an organization of any size.