Farm management software. "There are a lot of systems out there but over the past 10 years, many have integrated sustainability into their platforms. Growers are asking technology companies for one platform to service all their needs from data entry and record keeping and everything else they're doing in business. And we have seen great improvement on the adoption rate with the Field to Market and the number of QDMP (Qualified Data Management Partners) partners that are part of Field to Market."

Precision agriculture. "It comes in many different forms, but we're talking a lot about variable rate to better manage inputs like variable rate fertilizer application. There's been broad adoption of that in the past 10 years across all commodities. There's variable rate irrigation, surface drip, LESA (Low Energy Spray Application) and LEPA (Low Energy Precision Application) systems and growers are utilizing those, but they're trying to understand what's the break-even and what the ROI means to their operations."

Predictive analytics. "That's really where agriculture's sweet spot has been the last few years. It's getting the information at the right time to make the right decision. We take crop modeling and weather and management information to provide actionable insights to the producers. We're not prescriptive. We're going to provide insight and intel, but it's up to the grower to understand what fits their operations. Agriculture is not cut, copy, paste. So, these technologies may apply in some geographies and some crops, and in others, they may not be a fit."

Sensors. "There's a lot of soil or moisture sensor technology. I think we're going to see the evolution in that for better nutrient management decisions and understanding soil health."

Machine learning and predictive analytics. "We've just scratched the surface of where that's going to help growers more efficiently manage the farm."

Robotics. "I see that falling in the precision ag category. There’s a lot of excitement about the possibilities for tackling a number of day-to-day activities on the farm."

RFID, blockchain technology. "RFID technology is utilized in the cotton industry to track bales from the field through the gins. This has potential in the future to support the verification of information to address the data needs of apparel companies and retailers. Blockchain is yet another technology that is basically a shared ledger system which many are trying to assess the potential to use for enhancing data flow in the Ag Supply Chain. Food safety is a good fit for this technology, but several companies are evaluating the application for future use with sustainability."

Satellite imagery and drones. "What's old is new again. I think the cost will come down, and the frequency of having that intel is going to increase, and the utility of it in the farm operation will grow."