Abstract: A platform may receive raw data from a remote system and may then applies various forms of analysis to convert the raw data into parameters of interest in a garden. These parameters include but are not limited to soil moisture, soil salinity, air temperature, soil temperature, and pH. The platform enables inexpensive and simple sensors to be deployed in the garden. The platform may also use other data, such as the data from a weather service, to predict actions that should be taken in the garden to provide optimal growing conditions.

Abstract: An improved bridge circuitry is presented for improved soil sensor measurements. The improved bridge circuitry may include blocking capacitors, the ability to apply bias voltage, and the substitution of AC meters with DC meters and other improvements.

Abstract: A remote platform receives plant selection criteria and determines a plant selection based on the plant selection criteria. The plant selection criteria may include a plant preference, a budget preference, and garden parameters measured by sensors in a garden.

Abstract: A platform may receive raw data from a remote system and may then applies various forms of analysis to convert the raw data into parameters of interest in a garden. These parameters include but are not limited to soil moisture, soil salinity, air temperature, soil temperature, and pH. The platform enables inexpensive and simple sensors to be deployed in the garden. The platform may also use other data, such as the data from a weather service, to predict actions that should be taken in the garden to provide optimal growing conditions.

Abstract: An improved bridge circuitry is presented for improved soil sensor measurements. The improved bridge circuitry may include blocking capacitors, the ability to apply bias voltage, and the substitution of AC meters with DC meters and other improvements.

Abstract: A remote sensor platform may utilize a low-cost touch sensor coupled to capacitive plates to measure the capacitance of a soil. The sensor platform may also use other sensors to measure other garden parameters, such as soil resistance, soil pH, ambient light, soil or air temperature, and humidity. Based on measurements of a soil's resistance and capacitance, the soil moisture content may be determined.

Abstract: A remote platform receives and analyzes a set of desired garden parameters that is to be emulated or recreated in a first garden. The desired garden parameters may be measured by sensors installed in a second garden. The desired garden parameters may include soil moisture, soil salinity, soil temperature, soil pH, external temperature, external humidity, and light exposure. The remote platform then generates a data set based on its analysis of the desired garden parameters. The data set includes instructions to open or close a first sprinkler valve, add fertilizer, apply mulch, and provide covering. The data set may be transmitted to a user associated with the first garden, a controller hub controlling sprinkler valves in the first garden, sprinkler valve controllers installed in the first garden, or sensor-controller hybrids installed in the first garden.

Abstract: A platform may receive raw data from a remote system and may then applies various forms of analysis to convert the raw data into parameters of interest in a garden. These parameters include but are not limited to soil moisture, soil salinity, air temperature, soil temperature, and pH. The platform enables inexpensive and simple sensors to be deployed in the garden. The platform may also use other data, such as the data from a weather service, to predict actions that should be taken in the garden to provide optimal growing conditions.

Abstract: A remote platform receives plant selection criteria and determines a plant selection based on the plant selection criteria. The plant selection criteria may include a plant preference, a budget preference, and garden parameters measured by sensors in a garden.