It comprises a receptacle for the culture of plant material, a cap for closing an opening to said receptacle, and means for allowing the entry and/or exit of gas from said receptacle, and is characterized in that it comprises a container for receiving a liquid culture medium inside the receptacle, and support means for supporting the plant material on said reception container, wherein said container is attached to the lid of the receptacle in a position suitable for use, said lid including at least one medium inlet and/or exit conduit that connects with the container to be able to fill and/or empty said container through said conduit.

Systems for plant culture include a chamber featuring one or more walls enclosing a spatial volume internal to the chamber, where the one or more walls include a surface for supporting a plant within the enclosed spatial volume, a gas delivery apparatus with at least one gas source, a nutrient delivery apparatus with a reservoir, a sampling apparatus connected to a port formed in the one or more walls, and a controller configured so that during operation of the system, the controller activates the nutrient delivery apparatus to deliver an aqueous growth medium to the plant, and activates the gas delivery apparatus to deliver into the enclosed spatial volume a mixture of isotopically-substituted gases. Also provided are methods of use of the system for measuring nitrogen in a plant and for identifying microbes capable of providing fixed nitrogen to a plant.

The present disclosure provides a fully automated filling line for tissue culture flasks and a control method therefor. The line covers stations for material loading, flask loading, flask sorting, flask righting, degreasing, cleaning, filling, cap screwing, material unloading, transferring, sterilization, etc. Through the collaborative operation of a mechanical arm and a conveying line, an automatic processing flow of tissue culture flasks is achieved. The flask righting station accurately detects and processes a fallen flask through an image recognition algorithm. A visual detection mechanism includes steps of image collection, preprocessing, and feature extraction and matching, where camera parameters are optimized according to a conveying speed and a light intensity, image quality is improved through a composite filtering and correction algorithm, and a plurality of feature group vectors are extracted and input into a model to recognize a flask posture.

The invention relates to a system for distributing a growth media to plants. The system comprises a container for receiving the plants, a first conduit for fluidly connecting the container to a reservoir having the growth media, and a suction device fluidly connected to the container. The suction device is operable to draw air from the container so as to cause the growth media to flow from the reservoir into the container and at least partially immerse the plants.

In some embodiments, the techniques described herein relate to systems and methods for plantlet propagation. A plant tissue culture apparatus can include: a replication capsule that can contain a plurality of plantlets; a light source to illuminate the plurality of plantlets; a first gas tank coupled to the replication capsule containing a first gas; a first liquid tank coupled to the replication capsule contain a first liquid mixture; a nanobubble generator positioned between the first liquid tank and the liquid inlet; and a second gas tank containing a second gas, where the second gas tank is coupled to the nanobubble generator, and the nanobubble generator is configured to generate bubbles including the second gas in the first liquid mixture. The system can also include a processor configured to control valves and a light source of the system based on predetermined parameters or in response to information from a sensor.

The present disclosure provides a fully automated filling line for tissue culture flasks and a control method therefor. The line covers stations for material loading, flask loading, flask sorting, flask righting, degreasing, cleaning, filling, cap screwing, material unloading, transferring, sterilization, etc. Through the collaborative operation of a mechanical arm and a conveying line, an automatic processing flow of tissue culture flasks is achieved. The flask righting station accurately detects and processes a fallen flask through an image recognition algorithm. A visual detection mechanism includes steps of image collection, preprocessing, and feature extraction and matching, where camera parameters are optimized according to a conveying speed and a light intensity, image quality is improved through a composite filtering and correction algorithm, and a plurality of feature group vectors are extracted and input into a model to recognize a flask posture.