Small and medium-sized farmers in many countries around the world are producing under difficult conditions and low-income opportunities. It is difficult for them to access technical information and they may be unaware of proper growing practices. Sometimes the seed selection is incompatible with the climate of the region, and fertilization is not programmed according to their soil structure. As a result, they face a low yield. In addition, since many of the producers cannot use the right financial instruments, they pay most of their production to cost or to the market conditions.
Doktar provides practices, educations and information to increase the financial literacy of producers, and develops products and services to provide technical support to farmers in the most low-priced way. Doktar answers 22 thousand technical questions in a year for free and provides dozens of financial literacy education.
A Sustainable Nature and Low-Residue Healthy Foods
The use of high medicines and fertilizers threatens our health and our nature more and more every day. Soil salinity and residue accumulation in nature are increasing while the amount of organic matter is decreasing. All products of Doktar prevent spraying when there is no risk of pests or diseases, warns if there is a residual risk of active substances according to harvest time and offers the most optimum fertilization suggestion specific to the soil.
Our digital technologies reduce input usage by an average of 25%. In 2019 alone, we made more than 5 thousand residue warnings to producers and prevented unnecessary spraying.
Climate Change and Predictability
Today, climatic volatility is one of the most important problems in terms of food continuity, and the hyperlocal data from Doktar sensors constitute an important input to calculate the basin-based impact of climate change and its consequences on effective agriculture. However, events in changing climate require producers to differentiate the time and form of their practices every year. The fight against climate change is much easier with our intelligent algorithms that creates the best recommendations based on climatic conditions instead of static rules.