US 12,268,133 B2
Methods and systems for controlled soil-less plant growing
Idan Avitan, Nir Am (IL)
Assigned to Growee Technologies Ltd., Rishon Lezion (IL)
Appl. No. 17/604,266
Filed by Growee Technologies Ltd., Rishon Lezion (IL)
PCT Filed Apr. 16, 2020, PCT No. PCT/IL2020/050454
§ 371(c)(1), (2) Date Oct. 15, 2021,
PCT Pub. No. WO2020/212994, PCT Pub. Date Oct. 22, 2020.
Claims priority of provisional application 62/835,541, filed on Apr. 18, 2019.
Prior Publication US 2022/0183244 A1, Jun. 16, 2022
Int. Cl. A01G 31/02 (2006.01)
CPC A01G 31/02 (2013.01) 19 Claims
OG exemplary drawing
 
1. A system for plant growing comprising:
at least one sensor;
a data bank;
a controller; and
a hydroponic device capable of data communication with the data bank, the hydroponic device comprising:
a. at least one microprocessor;
b. at least one communication board configured to communicate with the data bank;
c. at least one sensor port connectable to the at least one sensor, the at least one sensor functionally connectable to the at least one sensor port, wherein the at least one sensor continuously monitors contents of a soilless plant feeding solution or contents of fluids added or drained from the feeding solution,
wherein the at least one communication board transfers each measurement performed by the at least one sensor to at least one of the data bank and the hydroponic device; and
wherein the data bank is a dynamic data bank comprising data from water facilities worldwide, measurements of the soilless plant feeding solution collected by the at least one sensor, values related to the contents of the soilless plant feeding solution uploaded by a user, values related to the location and weather of the soilless plant feeding solution and values associating contents of a feeding solution to plant strain or type;
wherein the device being connectable to at least one pump configured for pumping a solution required for adjusting the contents of the soilless plant feeding solution and configured to operate the pump for such adjustment based on the data from the dynamic data bank; and
wherein the controller predicts changes in the contents of the soilless plant feeding solution, based on the values stored in the data bank and utilizing at least one machine learning algorithm.