News

Modern agriculture is increasingly relying on data and digital technologies. One of the important tools for monitoring crop conditions is the Normalized Difference Vegetation Index (NDVI), which allows farmers to quickly and objectively assess crop growth and make informed management decisions. Every field has its own yield potential. The only question is whether you are using it 100 %. Thanks to NDVI, you can get a complete picture of the condition of crops without constant trips to the field — quickly, accurately and on time.

The success of modern agricultural businesses depends largely on effective land management, which requires not only accuracy but also the speed of processing colossal volumes of data. The Soft.Farm team decided to take an innovative approach and, through the use of artificial intelligence (AI), radically transform and simplify this routine work for farmers, analysts, and land managers. Cadastral registration is a main component of agricultural software.

Modern agriculture demands precision and transparency at all stages of production. In the era of digital transformation, the success of an agricultural enterprise directly depends on its ability to effectively manage resources, minimize losses, and optimize every process. One of the tools for achieving these goals is the innovative "Technique Tracks" module within the agricultural machinery monitoring system, developed by the Soft.

In the conditions of the modern agricultural market, the success of a farm is determined not only by the quality of the land or crop yield, but also by the company efficiency to manage information. Data is becoming a new “fuel” for development, and it is they who help farmers make the right decisions. Soft.Farm is a Ukrainian online platform that has been helping agricultural producers digitize business processes and control all stages of production for over 10 years.

During document management related to the land bank, difficulties often arise due to the complexity of data filtering, inappropriate visualization of plots, partial processing of information, etc. In this regard, there is a need to form lists of cadastral plots by individual characteristics. To solve these problems and expand the functionality of the Soft.Farm web service, our team has developed a new module "Lists".