From www.FarmlandForecast.com
As we begin a new year, we take time to reflect on what has been, and what may be coming. 2014 proved to be a pretty good year for producers across the country. A pretty solid wheat crop was harvested, despite some chronic drought conditions over the western high plains. The corn and soybean crop benefited from some timely rains and tolerable summer temperatures. With higher yields came lower commodity prices as well.
Looking forward, we all read about Trends in Agriculture. Sometimes looking at the big picture doesn't seem to be very relevant as we prepare for this year's upcoming crop. But, it does help us see where we are going, or where we should be focusing our attention.
Below are five trends in agriculture that I see taking center stage in years to come:
1. Adaptation of Technology
This almost can't be avoided. As we look at purchasing machinery, seed, pesticides, etc., technology is being inserted into the base model of almost everything required to put a crop in the ground, and harvested. As an example, it used to require a tremendous amount of effort to get a combine ready to collect yield data, retrieve the data, process the data, and get it in a useable format for decisions. Shortly, it will take virtually no operator input to have this data automatically collected, transferred, and ready for decisions.The technology that is in genetically modified seed has had, and will continue to have, a huge impact on agriculture - both from the environmental benefit it brings by reducing the amount of pesticides applied, to increased yields using less inputs including water and nutrients.
2. Big Data - Better Yet, Useable Data
Big Data is still a buzz word. The challenge is how to get data to work for a producer on a local level. Converting data to actionable solutions is what needs to happen to make all this technology worth the investment. This is actually one of Crop Quest's major focuses. Without solutions, just viewing data is pretty much worthless. This process takes a tremendous amount of time, filled with frustrations, trial and error. But when data becomes actionable, it becomes very powerful, and worth the effort.
3. Biologicals