Orora has filed a patent for a system and method that selects plants based on climate and plant data. The system generates durable plant tags with icons representing the lighting and watering levels of the plants using colors and numbers. The patent also includes an article of manufacture comprising a substrate with location-specific care instructions, a plant guide number, and a picture of the plant. The plant guide number includes a unique numerical and graphical component, with the numerical component encoding the light and water requirements of the plant. GlobalData’s report on Orora gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData, Orora's grant share as of June 2023 was 1%. Grant share is based on the ratio of number of grants to total number of patents.

Plant selection and care instructions on durable plant tags

Source: United States Patent and Trademark Office (USPTO). Credit: Orora Ltd

A recently filed patent (Publication Number: US20230165195A1) describes an article of manufacture that includes a substrate with printed information related to a plant. The information includes location-specific instructions for plant care, a plant guide number, and a picture of the plant. The plant guide number consists of a unique numerical component and a corresponding unique graphical component, which can be a color or shape. Each number in the numerical component is encoded with a specific combination of light and water requirements for the plant. The light and water requirements are location-dependent.

The article of manufacture may also include a machine-readable graphic code that allows for electronically accessing location-specific information about caring for the plant. Additionally, there may be a code for accessing information related to the plant guide number, which can be a graphical or numerical code. The article may further include an electronic communications element with a memory location that stores an identifier representing the plant type and geographic location.

The patent also describes a method of making a durable plant tag on a substrate. This involves obtaining a plant type data set, a location-based temperature data set, and a location-based precipitation data set. A tag file is assembled using these datasets, and the tag file is then printed on the substrate, which can be made of polyethylene or polyvinylchloride sheet. An electronic data element can be attached to the tag, programmed with a unique number representing the plant type, and used to deliver information associated with that unique number.

In another method described in the patent, a computer system including a server and a plastic tag printer is used to make and use a durable plant tag. The server obtains location-based temperature and precipitation data sets, identifies the plant type and location, and derives target temperature and precipitation values. These values are used to calculate light and water requirements for the plant, which are then encoded into a plant guide number. The plastic tag printer prints the plant guide number on a durable substrate, and the tag can be physically attached to a plant of the corresponding plant type.

Overall, this patent describes a system and method for providing location-specific care instructions for plants using durable plant tags. The tags include unique numerical and graphical components that encode light and water requirements, and they can be electronically accessed for additional information. The system also takes into account location-based temperature and precipitation data to determine the specific care needs of each plant.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.