To automate repetitive chores like harvesting, picking, trimming, sowing, and spraying, Tribotz professionals train computer vision models by annotating and tagging plants and crops. This allows farmers to concentrate more on increasing overall production yields.
The thermal characteristics of the soil, such as thermal conductivity, thermal diffusivity, moisture content, and specific heat, are used by Tribotz experts to label fields. It helps farmers choose the best crop-growing location.
To power autonomous tractors, Tribotz teams annotate and classify farmland, crops, pests, weeds, and other agricultural items. Precision farming is made possible by the sensor and GPS equipped tractors, allowing efficient management of resources and land.
Tribotz's CV professionals mark the plant diseased areas so that machine learning algorithms can locate and eliminate pests and weeds precisely where they are. It aids farmers in cutting back on or completely ceasing the usage of herbicides.
Teams from Tribotz collect crucial information from aerial images of farmlands, enabling artificial intelligence systems to evaluate crop health, track crop progress individually, and power autonomous recommendation systems for farmers.
Experts at Tribotz collect essential information from images of the sky and fields to power AI systems that can make precise predictions about the soil, weather, and crops. Farmers are given insights to help them make quick decisions for excellent crops.
Regardless of shape, skilled annotators place points on each vertex of the target object. For instance, they draw the limits of fruits to enable the detection of growth.
Rectangular box annotation is a technique used by Tribotz Computer Vision professionals to localise items such as produce for agricultural monitoring and pests and weeds to prevent and control crop diseases.
To support smart agricultural technologies, Tribotz experts perform pixel-perfect semantic segmentation of crops and weeds using data from nearby RGB and NDVI pictures.
The Tribotz team performs annotation on 3D photos to produce an elevation map of farmlands and to support use cases like land segmentation and soil analysis.
To help autonomous agricultural tractors identify the best route between two sites, Tribotz's staff does path planning, sometimes referred to as motion planning.
At Tribotz, we specialize in developing advanced AI and Machine Learning Data solutions that help businesses unlock the full potential of their data. Our team of experienced data scientists and engineers work with clients to develop customized solutions that address their unique data challenges and enable data-driven decision making.
