The present invention relates to an intelligent gardening system, for monitoring and controlling gardening apparatuses in a gardening area, including: multiple sensors that collect environmental information of the gardening area; one or more gardening apparatuses that perform gardening work according to a control instruction; and a control center that generates the control instruction based on the environmental information; wherein the sensors, the gardening apparatuses and the control center communicate with each other to form an Internet of Things.

A method and system for irrigating a field adjacent a watercourse is disclosed comprising a plurality of pumps along the watercourse and measuring from time to time at a plurality of measuring locations the salinity, the pH, the temperature and the turbidity of the water. The measuring locations are different from the pumping locations. A real time salinity, pH, temperature and turbidity at the pumping locations is predicted from the measured values and the pumps selectively disabled or enabled on the predicted salinity, pH, temperature and/or the turbidity.

Additionally, there is disclosed an Alternate Wetting and Drying (AWD) method/system for irrigating a field using a pump comprising an outlet supplying water to the field and an inlet connected to a water source. The method/system comprises a sensor placed at a location in the field for sensing a water depth below a surface of the field and transmitting the water depth to a controller located remotely from the sensing location using a wireless connection. The controller enables the pump when the sensed water depth is below a threshold depth and disables the pump when the sensed water depth is above a threshold depth.

A method and system for predicting soil and/or plant condition in precision agriculture with a classification of measurement data for providing an assignment of a measurement parcel to classes of interest. The assignment is used for providing action recommendations, particularly in real time or close to real time, to a farmer and/or to an agricultural device based on acquired measurement data, particularly remote sensing data, and wherein a classification model is trained by a machine learning algorithm, e.g. relying on deep learning for supervised and/or unsupervised learning, and is potentially continuously refined and adapted thanks to a feedback procedure.

Methods and systems are disclosed for an environmental services platform for providing optimized irrigation plans, water management and use analysis, automated irrigation. Scheduling via network connected irrigation controllers, and other automated environmental services. According to some embodiments, a user may input site survey data regarding a selected irrigation site to a network-connected environmental services platform. The environmental services platform may correlate and analyze the input site survey data with large scale sets of relevant data (e.g., soil data, geographic data, plant data, weather data, solar radiation data, etc.) to provide services associated with the platform.

A system for generating digital models of nitrogen availability based on field data, weather forecast data, and models of water flow, temperature, and crop uptake of nitrogen and water is provided. In an embodiment, field data and forecast data are received by an agricultural intelligence computing system. Based on the received data, the agricultural intelligence computing system models changes in temperature of different soil layers, moisture content of different soil layers, and loss of nitrogen and water to the soil through crop uptake, leaching, denitrification, volatilization, and evapotranspiration. The agricultural intelligence computing system creates a digital model of nitrogen availability based on the temperature, moisture content, and loss models. The agricultural intelligence computing system may then send nitrogen availability data to a field manager computing device and/or use the nitrogen availability data to create notifications, recommendations, agronomic models, and/or control parameters for an application controller.

In an embodiment, an integrated sensor system with modular sensors and wireless connectivity components for monitoring properties of field soil is described. In an embodiment, an integrated sensor system comprises one or more sensors that are configured to determine one or more measures of at least one property of soil. The integrated sensor system also includes one or more processing units that are configured to receive, from the sensors, the measures of at least one property of soil and calculate soil property data based on the measures. The system further includes a transmitter that is configured to receive the soil property data from the processing units, establish a communications connection with at least one computer device, and automatically transmit the soil property data to the at least one computer device via the communications connection. In an embodiment, the communications connection is a wireless connection established between the transmitter and a smart hub or a LoRA-enabled device. In an embodiment, the computer sensors, the processors, and the transmitter are installed inside a portable probe.

Some embodiments provide a system and method for interfacing with an irrigation controller based on rainfall, the system comprising: an interface unit including a housing and a control unit within the housing and configured to: cause an interruption of one or more watering schedules executed by the irrigation controller, which is separate from the interface unit, based on signaling received from a rain sensor including hygroscopic material, when a sensed expansion of the hygroscopic material is above a set rainfall accumulation threshold parameter, the rain sensor being separate from the interface unit and the hygroscopic material being configured to expand in response to being contacted by the rainfall and to contract in response to an absence of the rainfall; and remove the interruption after a completion of a predetermined interval of time after a sensed contraction of the hygroscopic material indicative of a rainfall stop.

A sensor element is used to collect environment information on a surface of the earth or a surface layer of the earth by being scattered in a target region where the environment information is collected. At least one of reflection properties, transmission properties, absorption properties, or luminescence properties with respective to an electromagnetic wave with a specific wavelength, or light emitting properties changes in accordance with an environment.

An irrigation system that controls the irrigation operations based upon soil irrigation decisions and weather forecasts generated by specific meteorological data, including soil temperature, soil moisture, air temperature, air humidity, air pressure, and rainfall collected by different sensors. The system comprises an irrigation decision module, a soil decision module, an air factor decision module, a rainfall information sensor, an irrigation controller, and a mobile APP. The irrigation system uses low-power radio frequency networking technology to communicate between different modules and devices.

Methods and apparatus for determining a plant health parameter based on a measured IR parameter of the plant are provided. If the measured plant health parameter indicates the plant is experiencing a stress condition, an alert can be provided and/or a control system can be activated to supply environmental elements such as water to the plant to ameliorate the stress condition.