Machine Learning for Crop Yield Prediction Market Share

Machine Learning for Crop Yield Prediction Market Share

Microsoft Azure and Corteva are the prominent players in the market holding approximately 17% of the market share. Microsoft Azure's cloud platform is designed for machine learning and data analytics, offering a comprehensive suite of tools and services. Azure Machine Learning, a central feature, allows users to build, train, and deploy ML models efficiently, significantly enhancing applications such as advanced crop yield predictions. It supports a wide range of AI and ML frameworks, including TensorFlow, PyTorch, and Scikit-Learn. This compatibility simplifies the development and deployment of complex ML models tailored for agricultural use.
 

Corteva prioritizes R&D investments to perfect ML models for predicting crop yields. By partnering with research institutions and adopting leading technologies, the company aims to enhance the precision and reliability of its predictive models. It integrates ML with advanced data analytics to process extensive agricultural datasets. These datasets include information from IoT sensors, satellite imagery, and field trials, providing farmers with more accurate forecasts and actionable insights.
 

Machine Learning for Crop Yield Prediction Market Companies

Major players operating in the market are:

• Ag Leader Technology
• Blue River Technology
• Corteva
• SAP
• Microsoft Azure
• Taranis
• Ceres Imaging