
data-driven gardens use automated guidance and gps-assisted seed placement with yield tracking to boost field accuracy, while big data analytics free farmers to focus on high-level farm management.
Digital pasture management uses gps-enabled tags to scan cattle tags, lighting the phone with animal details for remote identification and enabling rotational grazing and quick troubleshooting.
Digital farming uses data to improve food safety, grow healthy food quickly, and distribute food more efficiently, leveraging meteorological modeling and over 20 years of location-specific insights for global agriculture.
Explore the growing demand in food and agriculture and the challenges to the food supply chain, including 9 billion by 2050, droughts, flooding, labor shortages, border restrictions, and climate impacts.
Explore how digital farming impacts the food supply chain from farm to grocery store, using weather, soil data and market prices to inform decisions, improve food safety and reduce waste.
Explore how drones support precision agriculture by scouting plant health with ndvi imagery, enabling timely agronomic decisions and potential yield gains.
Explore how precision agriculture advances sustainable farming through data analytics and digital farming technologies to improve food security while balancing environmental stewardship, profitability, and social equity.
Discover the benefits of digital farming and how farmers adapt to ongoing technology changes. Weigh the benefits against challenges to guide successful adoption.
Explore how agribusinesses navigate unpredictable weather, droughts, storms, and insect changes using data analytics to monitor crops, predict yields, optimize resources, improve price visibility, and grow market share.
Digital farming is the use of technology by farmers to integrate financial and field level records for complete farm activity management. Digital farming enables the consistent application of methods of precision farming and smart farming, internal and external networking of the farm and used of web based data platforms together with big data analyses. Digital farming gives farmers access to timely valuable insights so that they can adopt best practices and manage farms more efficiently thus reducing losses and maximizing profits. Digital farming relies on having reliable high-speed internet connections, satellite imagery and mobile devices. This is because while digital agriculture is as nature as traditional farming, it fundamental relies on collecting, storing and analyzing data.
Precision farming has only really developed at speed thanks to these broader technological developments that have allowed farming equipment to become more accurate and optimized for specific agriculture uses. As communication technology has progressed, farmers have increase production, maximized yields, reduce waste, cared for the environment, cut manual labor and eliminated unnecessary risk without acquiring new land of diversifying. Farmers no longer make as many decisions as they previously used to, now data and software make decisions, the farmers simply carry them out. Connectivity is key in massive internet of things, lower power network and cheaper sensors will set the stage for the internet of things to scale up, enabling such use cases as precision irrigation of field crops, monitoring of large herds of livestock, and trucking of the use and performance of remote buildings and large fleets of machinery. The future of agriculture is digitalization so we all must embrace it.