Abstract: Techniques for robot-assisted deep water culture hydroponics are disclosed, including: receiving status data from multiple apparatuses associated with hydroponic cultivation, applying the status data to a machine learning model to determine one or more hydroponic cultivation parameters, and transmitting, to one or more of the apparatuses, one or more instructions to modify a hydroponic cultivation process according to the one or more hydroponic cultivation parameters.

Abstract: Disclosed are systems and methods of identifying and capturing information about items. In this instance, the systems and methods are focused upon fish. Through the use of the disclosed systems and methods, fish can be tagged and/or the image of the fish can be captured. The information about the tagged and/or image-captured fish can be wirelessly communicated to a remote device. As desired, the information specific to the fish can be combined and uploaded into a database with other relevant information, such as location information, temperature readings, latitude, longitude, date, time, and more.

Abstract: The field of the present invention relates, in general, to apparatus and methods of knitting a material into a tubular form, where the length of such tubular form is not dictated by conventional distances between the knitting areas and the catch basins of integrated machines. In short, this invention increases the distal relationship between the needle-equipped element, which performs the knitting function, and the basin that catches the resulting tubular form of the material. The basin rotates synchronized with the rotation of the resulting tubular form. The separation facilitates the continuous production of a length of the resulting tubular form of the material. The tubular form thus can be longer than such length where, as taught in the prior art, the catch basin is fixed—as part of integrated machines—in close proximity with the element that performs the knitting.