Artificial intelligence is helping businesses in multiple industries streamline processes, make better decisions, boost productivity and more. But there’s no industry in which AI’s capabilities could ...

Overview AI in agriculture improves efficiency by enabling real-time decisions through data, sensors, and smart machines.Computer vision and AI systems reduce i ...

There has been a lot of discussion about data ownership, data sharing and data value for on-farm information such as application rates, planting dates, yield and harvest dates. It’s a working ...

DUBLIN--(BUSINESS WIRE)--The "Europe Digital Soil Mapping Platforms and Applications Market: Focus on Application, Product, and Country - Analysis and Forecast, 2024-2034" report has been added to ...

Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...

Overview AI in agriculture promises higher efficiency, better yields, and data-driven farming decisions, but real-world ...

Data — a word that packs a punch but can be hard to define. Often, we use the word so loosely and generically that we fail to realize what data we need to collect from our fields. For decades, the ...

From monitoring soil condition to tagging livestock, there is a growing need for smart farming solutions to collect and transfer data. As many monitoring systems will be in remote locations and ...

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

Techugo aims to enhance climate-resilient agri services and farmer engagement through innovative digital solutions and platforms.

The global agriculture technology-as-a-service market size was US$ 1,321.6 million in 2021. The global agriculture technology-as-a-service market is forecast to grow to US$ 7421.1 million by 2030 by ...