A combined power conversion and carbon capture and recycling subsystem including a fossil fueled oxidation unit, a physical adsorbent CO2 capture medium, rotor, motor, heater, CO2 compressor, diffuser and water storage tank. Exhaust gas from fossil fuel oxidation is scrubbed of CO2 via passage across a physical adsorbent and then released from the adsorbent via fuel oxidation waste heat. High CO2 concentration scrubber exhaust air is then compressed and fed to a diffuser which facilitates dissociation of the CO2 into water where it is temporarily stored for use in watering plants. Carbon from fossil fuel is recycled back into the environment and permanently stored as biomass by natural means of photosynthesis.

A system and adjustable apparatus for applying CO.sub.2 gas to improve Cannabis production. The system includes upstream and downstream stages or subsystems. The upstream subsystem receives and stores gas, particularly CO2 gas. It monitors the environment of the downstream subsystem, determines when and how to apply gas to plants growing in the downstream system, acquires gas stored in the upstream subsystem, and distributes it to the downstream system. It also has various monitoring, command and control, management, and reporting features. The downstream subsystem includes one or more plant growth areas or plots, gas distribution means, such as gas conduits, tubes or lines from the midstream subsystem, and the high efficiency, adjustable gas applicator, and various sensing and monitoring devices communicatively connected to the upstream subsystem. Also disclosed are systems, apparatus and methods for pest control, humidity control, and odor control.

A system and adjustable apparatus for applying CO.sub.2 gas to improve Cannabis production. The system includes upstream and downstream stages or subsystems. The upstream subsystem receives and stores gas, particularly CO2 gas. It monitors the environment of the downstream subsystem, determines when and how to apply gas to plants growing in the downstream system, acquires gas stored in the upstream subsystem, and distributes it to the downstream system. It also has various monitoring, command and control, management, and reporting features. The downstream subsystem includes one or more plant growth areas or plots, gas distribution means, such as gas conduits, tubes or lines from the midstream subsystem, and the high efficiency, adjustable gas applicator, and various sensing and monitoring devices communicatively connected to the upstream subsystem. Also disclosed are systems, apparatus and methods for pest control, humidity control, and odor control.

In some embodiments, the present disclosure pertains to methods and systems for optimizing a property of a plant. In some embodiments, the methods of the present disclosure include: (1) receiving one or more growth-related parameters of the plant; (2) receiving one or more phenotype-related parameters of the plant; (3) receiving one or more qualitative parameters of the plant; (4) utilizing a computing unit to evaluate said one or more growth-related parameters, phenotype-related parameters and qualitative parameters of the plant; and (5) utilizing the computing unit to adjust the one or more of the growth-related parameters of the plant based on the evaluation. In some embodiments, the aforementioned steps are repeated a plurality of times. In some embodiments, the parameters are stored in a database and utilized by a machine-learning algorithm to optimize the evaluation of the parameters and adjustment of the growth-related parameters.

In some embodiments, the present disclosure pertains to methods and systems for optimizing a property of a plant. In some embodiments, the methods of the present disclosure include: (1) receiving one or more growth-related parameters of the plant; (2) receiving one or more phenotype-related parameters of the plant; (3) receiving one or more qualitative parameters of the plant; (4) utilizing a computing unit to evaluate said one or more growth-related parameters, phenotype-related parameters and qualitative parameters of the plant; and (5) utilizing the computing unit to adjust the one or more of the growth-related parameters of the plant based on the evaluation. In some embodiments, the aforementioned steps are repeated a plurality of times. In some embodiments, the parameters are stored in a database and utilized by a machine-learning algorithm to optimize the evaluation of the parameters and adjustment of the growth-related parameters.

The embodied invention is directed toward capturing air sources that contain higher concentrations of CO.sub.2 and directing the air to a controlled crop growing environment where a crop will be able to benefit from the higher amounts of CO.sub.2. The air is preferably filtered for dust, monitored for CO.sub.2 levels, and a mixer is used to control the CO.sub.2 level to a desirable amount.

The embodied invention is directed toward capturing air sources that contain higher concentrations of CO.sub.2 and directing the air to a controlled crop growing environment where a crop will be able to benefit from the higher amounts of CO.sub.2. The air is preferably filtered for dust, monitored for CO.sub.2 levels, and a mixer is used to control the CO.sub.2 level to a desirable amount.

Provided herein are methods, systems, and media that implement machine learning algorithms to determine a cultivar regimen recommendation for a crop based on crop yield and cultivar condition data.

Grass and/or turf growth is impacted by a number of factors both above ground and below ground. For example, soil temperature, nutrient levels, water levels, oxygen, humidity, above ground temperature, wind, and light. With respect to just light, there are a host of factors which can impact everything from root depth to disease resistance of grass/turf. While sunlight and artificial light can produce swards which are suitable for initial use, shade and/or damage can negatively impact portions of grass/turf for which there are no commercially available solutions. Described herein are a method and apparatuses for addressing turf growth and/or repair, and in a manner that minimizes downtime.

Grass and/or turf growth is impacted by a number of factors both above ground and below ground. For example, soil temperature, nutrient levels, water levels, oxygen, humidity, above ground temperature, wind, and light. With respect to just light, there are a host of factors which can impact everything from root depth to disease resistance of grass/turf. While sunlight and artificial light can produce swards which are suitable for initial use, shade and/or damage can negatively impact portions of grass/turf for which there are no commercially available solutions. Described herein are a method and apparatuses for addressing turf growth and/or repair, and in a manner that minimizes downtime.