Python-Driven ML Tools To Boost Robot Farming #Python #ML #MachineLearning #CircuitPythonDay
A recent article discussed the high demand For Python-driven machine learning (ML) tools to boost robot farming.
Blue River Technology’s See & Spray machine is utilizing the advanced ML (machine learning) framework PyTorch and computer vision to train robotic crop sprayers to map and find weeds as they pass across a field. This enhanced technology uses a superior-resolution camera to instruct robots to spray herbicide and destroy weeds without harming crops. Thus, using Python-powered ML tools will help farmers increase yield and maintain food quality.
PyTorch, a Python programming language, is an open-source deep-learning context created to be modular and flexible for research. The library enables creators to install, build, and complement novel AI models speedily.
“PyTorch was used to train its See & Spray robotic farming system owing to its flexibility and the fact that it was easy to debug,” said Chris Padwick, Director of Computer Vision and Machine Learning at Blue River Technology. “New team members can quickly get up to speed, and the documentation is thorough, and the framework gives us the ability to support production model workflows and research workflows simultaneously.”
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