Your voice, your mobile, your food & agriculture data captured quickly and easily. For food and agriculture production teams and the field workers who lead the way.
Voice to Data
Our voice-to-data service combines the learnings from more than 24 months of customer feedback and is live in on-site customer pilots. Customers testing the service in pilots reported that AgVoice enabled them to speed up in-field data gathering 1.5X – 2.5X faster.
How it Works
By using proprietary analytics and processing of raw voice files including captured time stamps and location data, users can improve productivity and workflow management, increase documentation accuracy, and gain valuable insights to optimize the use of resources in crop and animal production for a sustainability and environmental impact.
AgVoice is designed for use across the food and agriculture ecosystem, including livestock and crops, research & development, production, agronomy, animal health, water quality, logistics tracking and machinery repair.
Stakeholders in the food and agriculture industry have a critical need for timely, accurate and verifiable data, but there’s a chokepoint in the food data supply chain. The ability to capture in-field or on-site data, sometimes called ‘ground truth’ data, is a major, pervasive pain point. This information needs to be captured as it happens and often shared with trusted partners.
There are a wide range of stakeholders who value source-verified data, from companies who provide seed, fertilizer or chemicals to
The obstacles faced by field workers are many and varied including bright sunlight and dirty smartphone screens covered in dust, pollen, and dew. They may be wearing polarized sunglasses, see rapidly moving shadows on the plants they are inspecting, and have a need for press buttons without being able to clearly see the screen.What all of these players have in common is the escalating need for timely, accurate, verifiable on-site data.
Here is an example use case of how information is collected at the root of the food production system. In this example, sweet corn inspectors,need two specialists in the field at the same time.
These two images represent a single use case – this is sweet corn research and development, where today two of these on-the-go specialists go out into the field, one takes key observations and measurements and verbally call out the readings while the other specialist records this information into a paper based checklist, & then goes back to the office at the end of the day to type into a digitized report. In addition, these specialists are on the move most of their work day. When they do share their paper, or even electronic report – it is often only accessible when sitting at a desk.