With labour shortages on the rise, the agriculture industry seeks reliable means to automate production and daily operations. Many understand that advanced machinery and robotics hold much promise in making up for labour shortfalls; lesser known are how advanced computer technology like artificial intelligence (AI) can play an equally important role in automating complex tasks in commercial hydroponic greenhouses. Being lesser-known comes as no surprise since, unlike machinery, AI automation services typically function out of sight and require complex computer analyses conducted on servers far away from the greenhouse. The time is right for leaders in agriculture to learn about the growing potential of these unseen automation services.
Your greenhouse produces a wealth of data and growers need to understand the value and power of all this digital information. Technology companies can use your data to develop cutting-edge automation services that make your business more efficient and competitive. Sharing your greenhouse data, however, raises issues about cybersecurity, privacy and data ownership; moreover, categories of data sharing are distinct and raise particular challenges.
Predicting the harvest yield of vegetables in commercial hydroponic greenhouses today is a time consuming and inaccurate, manual process. Weekly estimates for tomato yields, for instance, are often over or under the actual yield by 20% or more; errors are often worse for peppers. Your Grow Team spends between one to three days a week making harvest forecasts.