The present disclosure is related to a smart irrigation system that includes a first sensor configured to monitor a moisture level at a location and a second sensor configured to monitor a contamination level within a fluid. The smart irrigation system also includes one or more processors configured to receive a first signal from the first sensor, receive a second signal from the second sensor, and route the fluid to the location in response to the first signal indicating that the moisture level is below a moisture threshold and the second signal indicating that the contamination level is below a contamination threshold.

A method for improving paddy fields by stirring and discharging slurry, including steps of rotary tillage scarifying, irrigation and paddy field soaking, slurry stirring, slurry layering, slurry discharging, airing, and water storing. The method for improving paddy fields by stirring and discharging slurry can quickly and greatly reduce soil salinity, with a cost lower than 1,000 yuan/hm2, a yield of 5,065 kg/hm2 to 6,304 kg/hm2; it saves the step of water harrowing before conventional rice planting and transplanting, and offers simple operation and promising prospect of replication and popularization, providing important support for increasing grain in soda saline-alkaline areas in the western Songnen Plain.

A method for improving paddy fields by stirring and discharging slurry, including steps of rotary tillage scarifying, irrigation and paddy field soaking, slurry stirring, slurry layering, slurry discharging, airing, and water storing. The method for improving paddy fields by stirring and discharging slurry can quickly and greatly reduce soil salinity, with a cost lower than 1,000 yuan/hm2, a yield of 5,065 kg/hm2 to 6,304 kg/hm2; it saves the step of water harrowing before conventional rice planting and transplanting, and offers simple operation and promising prospect of replication and popularization, providing important support for increasing grain in soda saline-alkaline areas in the western Songnen Plain.

The present invention provides a fruit harvesting, dilution and/or pruning system comprising: (a) a computerized system for mapping an orchard or a map of trees position and their contour in a plantation; (b) a management system for autonomous unmanned aircraft vehicle (UAV) fleet management for harvesting, diluting or pruning fruits; and a method for UAV autonomous harvesting, dilution and/or pruning of an orchard.

The present invention provides a fruit harvesting, dilution and/or pruning system comprising: (a) a computerized system for mapping an orchard or a map of trees position and their contour in a plantation; (b) a management system for autonomous unmanned aircraft vehicle (UAV) fleet management for harvesting, diluting or pruning fruits; and a method for UAV autonomous harvesting, dilution and/or pruning of an orchard.

A system and method for obtaining real-time data regarding the condition of a crop and planning and executing an irrigation cycle in response to the data. The invention uses an unmanned aerial vehicle to survey the conditions within an irrigated area. The irrigation system includes components to vary the amount of water dispensed within particular areas. The data obtained is used to create an irrigation schedule that the irrigation system then carries out. For example, surveyed areas that contain more moisture may be given relatively less water during the next irrigation cycle. The data obtained may also be used to alter a scheduled delivery of fertilizer, pesticide, or some other substance.

Methods and systems for determining water status in plant tissue are provided. A number of systems are capable of using terahertz signals to generate signals measuring total water content in plant tissue, including plant leaves. Using these signals, methods are capable of determining water status variables, including water mass per leaf area, relative water content, and leaf water potential, which can aid in agricultural, ecological, and environmental health, such as dehydration and droughst stress of plants.

Methods and systems for determining water status in plant tissue are provided. A number of systems are capable of using terahertz signals to generate signals measuring total water content in plant tissue, including plant leaves. Using these signals, methods are capable of determining water status variables, including water mass per leaf area, relative water content, and leaf water potential, which can aid in agricultural, ecological, and environmental health, such as dehydration and droughst stress of plants.

The present invention provides a system and method for analyzing sensor data related to an irrigation system. According to a preferred embodiment, the system includes algorithms for analyzing real-time, near real-time and historical data acquired from sensors in communication with a mechanized irrigation machine. Further, the algorithms of the present invention system may analyze collected sensor data to determine if an event has occurred or is predicted to occur. Further, the algorithms of the present invention may provide commands to an irrigation machine and notifications to users. According to further aspects of the present invention, the algorithms of the present invention may preferably apply machine learning and other data analysis tools to detect maintenance patterns, geographic trends, environmental trends, and to provide predictive analysis for future events.

The present invention provides a system and method for analyzing sensor data related to an irrigation system. According to a preferred embodiment, the system includes algorithms for analyzing real-time, near real-time and historical data acquired from sensors in communication with a mechanized irrigation machine. Further, the algorithms of the present invention system may analyze collected sensor data to determine if an event has occurred or is predicted to occur. Further, the algorithms of the present invention may provide commands to an irrigation machine and notifications to users. According to further aspects of the present invention, the algorithms of the present invention may preferably apply machine learning and other data analysis tools to detect maintenance patterns, geographic trends, environmental trends, and to provide predictive analysis for future events.