Optimization of hybrid growing infrastructure for different weather profiles and market conditions
An embodiment may respond to different weather profiles and market conditions within a controlled environment agricultural system, which may include one or more power consuming and environment controlling systems. Different market demands and prices may be used to influence which plants are grown and when they should be harvested. The growing process may be altered based on market demand, which may call for a varietal to be harvested at a delayed time or may require some other parameters to be optimized. A control unit may identify criticality of and power consumption by the systems and may compare those with the current cost of power. The control unit may analyze the cost of adjusting power to systems and the cost of powering those systems during a specified period of time. A weather profile may be forecasted which can be used to identify which systems to power or when to store energy.
1 . A method for optimizing a growing infrastructure, implemented in a controlled environment agriculture system, the method comprising:
creating a weather profile for a location of the growing infrastructure, wherein the weather profile indicates an expected weather outlook based on historical weather information and geographical information;
receiving a weather forecast, wherein the weather forecast indicates at least one upcoming future weather event occurring at the location;
receiving a plurality of market conditions, the plurality of market conditions comprising one or more of an electricity cost, a heating fuel cost, a nutrient cost, an expected sale price of a varietal, and an expected sales volume of a varietal;
identifying a value associated with growing each varietal from a plurality of varietals based on the weather profile, the weather forecast, the plurality of market conditions, and a set of plant varietal parameters, the set of plant varietal parameters comprising one or more of a temperature, an amount of sunlight, and an amount of nutrients;
identifying an expected variance in plant size or production due to a variation in the set of plant varietal parameters, wherein the expected variance is identified from a historical database of plant growth according to a plurality of differing plant varietal parameters;
calculating a loss value associated with the expected variance in plant size;
adjusting multiple growing environments, by a control computer, separately and differently based on each varietal from the plurality of varietals growing in each growing environment, the value associated with growing each varietal, the expected variance, the loss value, the weather profile, the weather forecast, and the plurality of market conditions;
moving the respective plants, by a robotic transplanter, to the multiple growing environments adjusted by the control computer; and
moving one or more plants, by the robotic transplanter, from a vertical growing arrangement with artificial lights to a horizontal growing environment with natural light based on the weather profile and/or the weather forecast.
2 . The method of claim 1 , further comprising:
selecting at least one varietal to plant in the growing infrastructure based on a comparison of the value associated with growing each varietal from the plurality of varietals; and
selecting one or more varietals with a largest value for planting in the location.
3 . The method of claim 1 , wherein the growing infrastructure comprises a vertical growing environment.
4 . The method of claim 1 , wherein the plurality of market conditions further comprises a future or predicted energy cost.
5 . The method of claim 1 , further comprising:
identifying an upcoming weather change from the weather profile and/or the weather forecast, wherein the at least one varietal selected from the plurality of varietals is/are adapted for the upcoming weather change.
6 . The method of claim 1 , further comprising:
storing electricity after a predicted future electricity cost is greater than a current electricity cost.
7 . The method of claim 1 , further comprising:
storing electricity after the weather profile and/or the weather forecast indicates an upcoming period of low solar intensity.
8 . The method of claim 1 , further comprising:
storing thermal energy after the weather profile and/or the weather forecast indicates an upcoming period of low temperatures.
9 . The method of claim 8 , further comprising:
storing the thermal energy in a water storage tank.
10 . The method of claim 1 , wherein the variation in the set of plant varietal parameters comprises a variation in light received due to a change from the vertical growing arrangement with artificial light to the horizontal growing environment with natural light.
11 . The method of claim 1 , further comprising:
calculating a predicted energy cost savings expected from producing the selected varietal according to the variation in the set of plant varietal parameters;
after the predicted energy cost savings is greater than the loss value, implementing the variation in the set of plant varietal parameters.
12 . The method of claim 1 , wherein the robotic transplanter is configured to transfer the respective plants to new trays with adjusted spacing for optimized density.
13 . The method of claim 1 , wherein the robotic transplanter is configured to mechanically transplant the respective plants into lower density trays.
14 . The method of claim 1 , wherein the robotic transplanter is configured to grip a substrate using robotic members.
15 . The method of claim 1 , wherein the robotic transplanter is configured to grip and move individual plants in pods.
16 . The method of claim 1 , wherein the robotic transplanter is configured to mechanically transplant the respective plants into a hydroponic plant vessel.
17 . The method of claim 16 , wherein the hydroponic plant vessel is part of a greenhouse hydroponic system.