Agriculture
That Works For Future What can we solve for you?SciForce solves problems modern agritech company is facing with the help of farming innovations.
SciForce helps agribusiness apply machine learning solutions, from the seed planted to the harvest picked up.
SciForce goes far beyond providing data analytics for agribusinesses — we resolve specific problems with the latest machine learning techniques in agriculture. You will no longer depend on professionals operating raw data for automated farming tasks. We are building reliable machine learning solutions to find the best way to cope with that, automated and scaled.
Problems we solve
Species Breeding
Define genes making up an efficient plant
Species selection might be tedious. But it shouldn’t be. We are building machine learning models predicting which genes would bring the most beneficial trait to the plant. You will enjoy the species geared up to nutrient and water use, staying disease-resistant, and adapting to climate change.
Field conditions management
Understand the dynamic of the ecosystem
Machine learning algorithms can predict everything related to humidity, temperature, and moisture for efficient soil and water management. So this is how you won’t miss any tiny change to affect yield.
Crop management
Make the most of your yield
Stop relying on historical data-based prediction only, but use computer vision technologies to increase crop quality. Having machine learning solutions, you can apply agrochemicals targeted per plant affected and get rid of weeds at a low cost.
IoT-based farming cycle
Track crop’s lifecycle and growing conditions in real-time
Internet of things (IoT) techniques enabled by satellite imagery and sensors help agribusinesses minimize risks and increase yield and profit. With data collected via devices, farmers can track vital indicators like water use, nutrient density, pesticides and fertilizers used in real-time. Let IoT devices be your eyes and ears, making up an efficient farm management system.
Precision Farming
Make it more accurate and controlled
When it comes to strategic planning in an unstable environment, triad determining precision farming enters the picture. Data collected on the spot — then transmitted via the Internet of things devices — precise decisions made. Start making superhuman-accurate decisions per animal or plant rather than herd or field based on the IoT-based farming cycle.
Anomaly detection
Get rid of unpleasant surprises
Using the ground-based and aerial drones and possessing imaging collected, agribusinesses can quickly react to insect propagation, physical and chemical soil properties, the presence of pathogens and soil diseases, and adjust to topography variability.
Technology we use
