A system for collecting information through a plant includes a first remote detecting device attached to a first portion of the plant and configured to transmit a given signal directly through the plant; the plant, which constitutes a communication channel; a second remote detecting device attached to a second portion of the plant, which is different from the first portion, and configured to receive a signal indicative of the transmitted given signal; and a sink node that communicates with the second remote detecting device.

In some embodiments, the present disclosure pertains to methods and systems for optimizing a property of a plant. In some embodiments, the methods of the present disclosure include: (1) receiving one or more growth-related parameters of the plant; (2) receiving one or more phenotype-related parameters of the plant; (3) receiving one or more qualitative parameters of the plant; (4) utilizing a computing unit to evaluate said one or more growth-related parameters, phenotype-related parameters and qualitative parameters of the plant; and (5) utilizing the computing unit to adjust the one or more of the growth-related parameters of the plant based on the evaluation. In some embodiments, the aforementioned steps are repeated a plurality of times. In some embodiments, the parameters are stored in a database and utilized by a machine-learning algorithm to optimize the evaluation of the parameters and adjustment of the growth-related parameters.

An irrigation modeling framework in precision agriculture utilizes a combination of weather data, crop data, and other agricultural inputs to create customized agronomic models for diagnosing and predicting a moisture state in a field, and a corresponding need for, and timing of, irrigation activities. Specific combinations of various agricultural inputs can be applied, together with weather information to identify or adjust water-related characteristics of crops and soils, to model optimal irrigation activities and provide advisories, recommendations, and scheduling guidance for targeted application of artificial precipitation to address specific moisture conditions in a soil system of a field.

A method of irrigating a saline aquaculture system to control pests is described herein. The method includes acquiring a second set of environmental condition data on a computing device using a sensor coupled to a platform, such that the platform is configured to grow a salt-tolerant plant therein; comparing the second set of environmental condition data to a first set of environmental condition data acquired at a previous time point; determining whether freshwater accumulation has increased or will increase at a future time point on a surface of the platform; when it is determined that the freshwater accumulation on the surface of the platform has increased or will increase relative to the previous time point, activating a saltwater distribution device coupled to the platform; and reducing an accumulation of one or more of: insects, caterpillars, fungi, and bacteria on the surface of the platform.

The present invention relates to an information processor. The information processer comprises a diagnostic unit for diagnosing a state of a humidity sensor, the diagnostic unit diagnosing that the humidity sensor is in a deteriorated state when days on which a proportion of detection data of the humidity sensor indicating 100% humidity out of all detection data for one day is equal to or greater than a reference proportion, have persisted for a reference period.

Programmable controller technology, in which data is received that identifies a particular type of irrigation system component that is to be controlled by a programmable controller. Based on receiving the data identifying the particular type of irrigation system component, configuration information is accessed for the particular type of irrigation system component. Based on the configuration information, a configuration is determined for one or more interface ports of the programmable controller. The one or more interface ports of the programmable controller are configured according to the determined configuration. A connection between the particular type of irrigation system component and the programmable controller that satisfies the determined configuration is detected. Based on detecting the connection between the particular type of irrigation system component and the programmable controller that satisfies the determined configuration, the particular type of irrigation system component is controlled through the one or more interface ports.

Provided herein are methods, systems, and media that implement machine learning algorithms to determine a cultivar regimen recommendation for a crop based on crop yield and cultivar condition data.

The present invention provides a system and method which includes a machine learning module which analyzes data collected from one or more sources such as UAVs, satellites, span mounted crop sensors, direct soil sensors and climate sensors. According to a further preferred embodiment, the machine learning module preferably creates sets of field objects from within a given field and uses the received data to create a predictive model for each defined field object based on detected characteristics from each field object within the field.

There are provided soil moisture sensing valves and devices that use osmotic potential of an aqueous solution to control the state of the valves and devices, such as those used in irrigation systems.

A water distribution station includes: a water inlet; and at least one hose connection, wherein each hose connection is configured to be connected to a hose to conduct water from the water distribution station to at least one location for providing water. The water distribution station is configured to be assembled in modular form from a plurality of water distribution modules, each water distribution module having: at least one water inlet and a hose connection, provided with a controllable valve, for connection to a hose. A supply container is connectable to each water distribution module for receiving nutrients which can be metered from the supply container to the hose connection of the respective water distribution module.