A relay device capable of being connected between a main controller and an electronic valve and signally connected with a soil moisture sensor is provided. The relay device includes a first terminal, a second terminal, a transceiver, and a switch. The first terminal is for being electrically connected with the main controller. The second terminal is for being electrically connected with the electronic valve. The transceiver is for signally connected with the soil moisture sensor. The switch is for controlling an opening and closing of the electrical connection between the first terminal and the second terminal according to a soil moisture level received from the soil moisture sensor.

Techniques for horticulture light are provided. A horticulture light can monitor at least one characteristic of a defined region in which at least one plant is planted in a horticulture environment in which horticulture light bulb is installed, determine at least one action for the horticulture light bulb to perform based on a state of the at least one characteristic and at least one objective of the installation of the horticulture light bulb in the horticulture environment, and execute the at least one action.

In an embodiment, an agricultural intelligence computing system stores a digital model of crop growth, the digital model of crop growth being configured to compute nutrient requirements in soil to produce particular yield values based, at least in part, on data unique to an agricultural field. The system receives agronomic field data for a particular agronomic field, the agronomic field data comprising one or more input parameters for each of a plurality of locations on the agronomic field, nutrient application values for each of the plurality of locations, and measured yield values for each of the plurality of locations. The system computes, for each location of the plurality of locations, a required nutrient value indicating a required amount of nutrient to produce the measured yield values. The system identifies a subset of the plurality of locations where the computed required nutrient value is greater than the nutrient application value. The system computes, for each of the subset of the plurality of locations, a residual value comprising a difference between the required nutrient value and the nutrient application value. The system generates a residual map comprising the residual values at the subset of the plurality of locations. Using the residual map and the one or more input parameters for each of the plurality of locations, the system generates and stores particular model correction data for the particular agronomic field.

An artificially intelligent irrigation system on a property may include an irrigation management server with the information for the irrigation system. An artificial intelligence feature may retrieve and access inputs from a plurality of resources or data sources. These sources may include current weather data, historical weather data, current moisture levels, historical moisture levels, sensor information from sensors on or near the property, water utility usage data, and other data. Other inputs may be events on the property as well the frequently or consistently occur and may also be considered historical data. The artificial intelligence feature may manage the schedule and predict the upcoming water schedule based on this information and appropriately water, or not water, or change duration of watering or output of watering based on the information gathered without human intervention.

An agricultural method includes providing a positive air pressure chamber to prevent outside contaminants from entering the chamber; growing crops in a plurality of cells in the chamber, each cell having multi-grow benches or levels, each cell further having connectors to vertical hoists for vertical movements in the chamber; maintaining pre-set temperature, humidity, carbon dioxide, watering and lighting levels to achieve predetermined plant growth; using motorized transport rails to deliver benches for operations including seeding, harvesting, grow media recovery, and bench wash; dispensing seeds in the cell with a mechanical seeder coupled to the transport rails; growing the crops with computer controlled nutrients, light and air level; and harvesting the crops and delivering the harvested crop at a selected outlet of the chamber.

The present invention is a two-part irrigation system that utilizes both groundwater and rainwater. The first system extracts water from groundwater layers by using extraction pipes filled with nanomilled sand that constantly moves water upwards through capillary action. The second is a rainwater collection and capillary irrigation system. The groundwater irrigation system consists of an external groundwater transport pipe filled with nanomilled sand. This encapsulates an empty internal transport pipe that delivers percolated water. The rainwater irrigation system consists of a collection, storage, filtration, and capillary irrigation system. Rainwater is collected by trays and a water tank, where the water is filtered through a hollow fiber membrane filter. This clean water is used as potable drinking water or for irrigation. The water volume required for irrigation is calculated based on moisture data collected by moisture detection devices. Both systems are solar powered, and are controlled and programmed by the user.

Systems and methods for providing irrigation water to a soil depth of a crop rootzone in a plurality of crop fields using a sensor network and soil moisture modeling are provided. In various embodiments methods include receiving data from a sensor network in a first crop field and determining a soil moisture model using data from the sensor network in the first field. Various embodiments further include determining a first field irrigation time using the soil moisture model, the first field irrigation time providing irrigation water to a soil depth of the crop rootzone above a Wilting Point (WP) and below a Field Capacity (FC) of soil in the first field, and applying the soil moisture model to a second field.

The sensing system S extracts a target area to be subjected to short-distance sensing by the UGV 2 on the basis of the long-distance sensing data obtained by the UAV 1 in the air performing long-distance sensing on a lower place, perform movement control for moving the UGV 2 toward the target area. And then, the sensing system acquires short-distance sensing data obtained by performing short-distance sensing on the whole or a part of the target area by the UGV 2 that has moved according to the movement control.

A system with sensor equipment including one or more sensors and watering equipment disposed on a parcel of land and configured to selectively apply water to the parcel, and a gateway configured to provide for communication with the sensor equipment and the watering equipment. The watering equipment comprises a watering pump, wherein the watering pump is operably coupled to a water source and a water line to alternately couple the water source to and isolate the water source from the water line. The watering pump further includes a pump sensor assembly configured to direct the watering pump based on detected environmental and operational parameters.

According to one embodiment, a method for generating a dynamic watering plan that reduces water consumption requirements for vegetation is disclosed. An example method includes estimating root depth of vegetation watered by a watering system; determining an allowed water depletion threshold of the vegetation based on the root depth; determining a training watering plan to increase the root depth of the vegetation over time based on the root depth and the allowed water depletion threshold; and transmitting the training watering plan to a flow controller for execution by the watering system.