Systems and methods for monitoring plants'conditions in one or more plant growing areas are presented. The system comprises a data collection system for providing characterization data about various parameters of plants in the one or more plant growing areas, the data collection system comprising data collection modules of at least first and second different types comprising respectively one or more first type imaging devices of predetermined first field of view and first resolution and one or more second type imaging devices of predetermined second field of view narrower than the first field of view and second resolution higher than the first resolution, the characterization data provided by the first type imaging device(s) comprising first type image data indicative of one or more plants in the plant growing area and of location of at least one device of the second type imaging devices with respect to said one or more plants in the plant growing area, the characterization data provided by the second type imaging device(s) comprising second type image data indicative of one or more portions of plants in the plant growing area; and a control system for activating at least one first type imaging device and at least one second type imaging device at least partially simultaneously, and to be responsive to operational data being based on analysis of the first type image data and comprising navigation data to navigate the at least one second type imaging device or at least one device of the first type imaging devices in the plant growing area.

Disclosed herein are a system and method that integrate vineyard sensor data into an environment that enables analysis, historical trend analytics, spatio-temporal analytics, and weather model fusion for improved decision making from vineyard management to wine production. The integration of new sensor data from multiple soil depths with surface measurements, combined with production flow process and historical information enables new decision making capabilities. A wireless network of sensor/transmitters can be distributed to provide a 3-dimensional assessment of water movement both across the grower's field and as it moves from the surface through the root zone. The soil monitoring data stream feeds into a visualization interface that will be incorporated in software based decision aid and crop management tool that helps agricultural producers reduce costs, minimize water and nutrient applications, and better protect the environment by reducing agricultural production inputs.

A system may include a sensor disposed on a parcel of land, watering equipment comprising a watering pump and processing circuity, and a user terminal comprising a user interface. The sensor may be configured to detect moisture conditions. The processing circuitry may be configured to direct the watering pump to operate in accordance with an operational mode. The user terminal may be configured to output system information via the user interface based on sensor data provided by the sensor, control the watering pump to operate in accordance with the operational mode, and delegate operational control of the system to a second user in response to a delegation input provided by a first user via the user interface.

A soil moisture sensor includes a capacitive probe configured to be inserted into soil, a series RLC circuit electrically coupled to the capacitive probe, a microcontroller configured to determine the capacitance value of the soil and determine the moisture content of the soil from the capacitance value of the soil.

Provided are a soil estimation device, a soil estimation method and a program that are capable of improving the accuracy of estimation of a state in soil without increasing the number of sensors that detect the state in the soil. The soil estimation device 100 is provided with an estimated model generation unit 10. The estimated model generation unit 10 generates an estimated model based on at least one among geographical information that specifies a geographical feature of a field of interest and soil distribution information that specifies a soil distribution in the field. The estimated model is a model for estimating, from a measured value that indicates the state in the soil at one location within the field, the state in the soil at a location other than the one location.

A control system including a control device, an irrigation controller and a server is disclosed. The server is linked to the control device and the irrigation controller for receiving a regional information of the irrigation controller. The regional information includes a position information of the irrigation controller, a plant information and a sprinkler information. The server generates a watering schedule according to the regional information and an evapotranspiration information corresponding to the position information. Then, the server transmits the watering schedule to both the irrigation controller and the control device, so that the irrigation controller is set up according to the watering schedule.

A system includes a data acquisition device that includes one or more sensors. The data acquisition device collects sensor data from the one or more sensors that measure one or more of the following: irrigation flow rate, irrigation water quality, intensity of solar radiation, ambient temperature, and ambient humidity. The system further includes a user interface module that collects condition data from a user. The system further includes a collection and analysis application that receives the sensor data from the data acquisition device, receives the condition data from the user interface module, analyzes the sensor data and the condition data, and generates analyzed data from the sensor data and the condition data. The user interface module generates a user interface that includes the analyzed data from the collection and analysis application.

An irrigation system includes at least one environmental sensor, such as a solar radiation sensor that is installed on an irrigation site, and a soil moisture sensor that is also installed on the irrigation site. Programming allows an estimated ET value to be calculated based at least in part on the output signal of the environmental sensor. A pre-programmed watering schedule is automatically modified based on the estimated ET value to thereby conserve water while maintaining the health of plants on the irrigation site. The system automatically inhibits irrigation when an output signal of the soil moisture sensor indicates an amount of moisture in the soil is above a predetermined threshold.

An example plant monitoring system can include sensors connected to a horticultural monitor. The sensors can measure the soil, the environment, individual plant characteristics, etc. At least one horticultural monitor can send sensor data to a local beacon. The local beacon can then receive the data and send it to cloud resources which can process the data. The cloud resources can determine the health of the plant and monitor its development. A user can track this health and development using an interaction device.

The invention relates to a method for the automatic irrigation of plants, wherein the temporal progression of soil moisture is determined from measured soil moisture values, and said progression is used for the calculation of an optimized irrigation time duration, such that both water excess in the soil and soil drying are avoided as much as possible. Preferably, the time duration of irrigation is constantly evaluated and optimized using comparisons of measured values with prespecified moisture- and dryness threshold values (GWmoist, GWdry), and automatically adjusted to changing environmental conditions and/or plant requirements.