Machine Learning and Data Engineering Applications in Agriculture
"In God we trust, all others bring data." William Edwards Deming In this article, we show the importance of interference between Machine Learning, Data Engineering, and Agriculture. The main problems that farmers face on an everyday basis, such as climate changes,
Machine Learning in agriculture: challenges and solutions
In recent years, machine learning has become one of the most promising technologies. And while it's often associated with consumer applications like smartphone personal assistants and social media recommendations, its potential extends far beyond that. Agriculture is a great example of
Leveraging IIoT, AI and Machine learning to optimize operations in manufacturing and infrastructure
Manufacturing is poised to play a critical role in shaping the economy for the next decade and beyond. The opportunities are endless if the advanced manufacturing industry can strengthen its innovation vision and embrace the reality of end-market disruption, but
Why a closed loop is key for machine learning
By now, the positive impact of digitalization in manufacturing environments is widely recognized — reduced costs, improved operational efficiency and greater productivity. But digitalization is not fulfilled by making just a single change. It is a continuous cycle of updates
Ensemble Modeling: How to Improve Machine Learning
What is Ensemble Modeling? Ensemble Modeling is a technique used to improve the results of Machine Learning projects. This Ensemble Modeling technique allows to obtain a better predictive performance compared to the models from which it is made up, thanks to
Boosting Streaming Analytics with Machine Learning for Deeper Insights
We live in a world of increasingly smart and interconnected devices. From power grids to industrial control systems and vehicle fleets, IIoT devices are proliferating. Recent estimates project that there will be well over 24 billion IoT devices within the
Neural networks, types and applications
Deep Learning, which is based on the use of neural networks, can be applied to very different types of information, which call for the use of particular networks better suited to achieving specific objectives. What are Artificial Neural Networks (ANN)? The Artificial
IIoT Gets A 5G Boost of Machine Learning Innovation
Network operators around the world have invested heavily in spectrum, with auctions exceeding $27 billion in 2020 according to the Global Mobile Suppliers Association. They are looking to move quickly with 5G, seeking solutions to help them develop services faster
Artificial Intelligence and Machine Learning Enhance ERP Software
Artificial Intelligence (AI) and Machine Learning (ML), are huge contributors in these advances and have revolutionized the way that software operates and functions for the manufacturing industry. AI and Machine Learning in ERP Systems Artificial Intelligence and Machine Learning have drastically enhanced