More mobile farm applications are coming. This one from FarmLogs. The company will be exhibiting at this week’s Iowa Power Farming Show.
FarmLogs, the Michigan startup and Y Combinator alum that helps farmers digitally manage their farm to increase profitability, today announced that it has closed a $1 million seed funding round co-led by Huron River Ventures and Hyde Park Venture Partners. Hyde Park Angels, Silicon Badia Ventures, and First-Step Fund participated in the investment along with angel investors. The funding allows FarmLogs to expand its team and to further develop its mobile applications in time for the 2013 planting season.
Launching almost exactly a year ago, the farm management software company has quickly helped modernize farming by bringing critical farm data online. FarmLogs replaces paper record keeping with simple, easy-to-use software that is accessible via smartphone or web browser. With FarmLogs, growers can plan, manage and analyze their farm’s operations in order to increase yield and profitability. The tool allows farmers to quickly forecast and measure profits, track expenses, and more efficiently schedule operations.
“We built a product that my family and other farmers were asking for. Our customers around the world tell us that they could never go back to the old way,” said Jesse Vollmar, CEO and co-founder of FarmLogs. “We are on a mission to create world-changing innovation in agriculture. This funding allows us to accelerate our growth to help even more farmers take advantage of modern technology.”
FarmLogs helps row crop farmers (corn, soybeans, wheat, etc.) save time and gain total visibility into all aspects of the farm in one place. A dashboard gives users a daily snapshot of a farm’s performance, access to maps, calendars, weather conditions, market prices and relevant news. Field activities such as planting, fertilizing, and harvesting can be quickly logged in the web browser, or right from the field using the GPS enabled mobile app. Users can then drill down into their farm’s performance to learn from previous results and use that information to make smarter, more efficient farming decisions.