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.

Irrigation apparatus (70) is provided that includes an elongate housing (10) with an internal cavity (14) and a dispenser (24,76) that is fitted at a top of the cavity (14). The housing (10) is installed in soil and the dispenser (24,76) is supplied with water, which is dispensed into the cavity (14), to drip to an exposed soil surface (104) at the bottom of the housing (10), to provide water to plants.

A system for fabricating an irrigation dripper, comprises several processing stations. One or more longitudinal drilling stations drill in an elongated extruded body of an irrigation dripper a first bore and a second bore, wherein the second bore is contiguous to the first bore and is smaller in diameter than the first bore. An additional drilling station drills an additional bore in the body to connect the first bore with an external surface of the elongated body. An assembling station inserts an extruded rod through the first and the second bores, such that the second bore holds a distal end of the rod to maintain a gap between the rod and an inner wall of the first bore.

Panel for floating cultivation of plants on water, including parallel grooves at a top side extending longitudinally, adapted for receiving a substrate and a number of plants or precursors in the substrate, each groove extending through the panel from a first top plane to a second parallel plane. The panel includes air chambers at a lower side extending substantially below the second plane, each of the air chambers allowing therein formation of air roots of plants supported in the substrate of the grooves. At the second plane, each groove is spaced apart from the circumferential side wall of the air chamber it debouches in when projected onto a plane normal to the longitudinal direction, each of the grooves including at least two side support surfaces extending parallel to the groove and below the top side, the side support surfaces adapted for substantially completely supporting the substrate in the groove.

Disclosed is a drip irrigation hose with an emitter, devoid of fluid storage, the emitter comprising, a plurality of holes, running along a first edge and a second edge of the emitter, wherein the plurality of holes enable filtration. An inlet support positioned at a first side of the emitter, wherein the inlet support has an inverted funnel shape, with a separating structure extending from at least one corner of the inverted funnel. A first inlet positioned parallel to the plurality of holes and located along the first edge. A second inlet positioned parallel to the plurality of holes and located along the second edge. Further an outlet support positioned at a second side of the emitter.

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.

A method for vegetation restoration or rehabilitation of simulating a natural ecosystem based on machine learning (ML) includes: acquiring historical growth environment data of a vegetation community; extracting a site condition feature and a growth condition feature of each vegetation species; restoring and rehabilitating a vegetation community structure selection model; and selecting, based on the vegetation community structure selection model, an optimal vegetation species according to current growth environment data of the vegetation community, and restoring and rehabilitating a vegetation community simulating a natural ecosystem. The method comprehensively considers various factors affecting vegetation restoration based on the site condition and the growth condition. The method has the advantages of simple operation, fast modeling speed, high calculation efficiency, and high screening accuracy and can realize accurate and effective vegetation restoration to improve the quality of the ecological environment.

formaldehyde-based polymer composite is coated on a surface of the biodegradable polymer fabric, and is embedded in meshes of the biodegradable polymer fabric. There is intermolecular hydrogen-bond interaction between the biodegradable urea-formaldehyde-based polymer composite and the biodegradable polymer fabric.

A method for inhibiting microbial clogging of drip irrigation emitters, belonging to the technical field of water-saving irrigation. The method includes the following steps: (1) Use developmental molecular ecological network analysis to determine the key bacteria causing the clogging of drip irrigation emitters, and then carry out screening of antagonistic bacteria to inhibit the clogging of drip irrigation emitters; (2) Ferment the selected antagonistic bacteria in a medium containing biogas slurry, to generate bacterial antagonist; (3) Apply the bacterial antagonist to drip irrigation system. The method uses the molecular ecological network analysis method to obtain key bacteria that cause the growth of biofilm in drip irrigation emitters, and then combines the principle of microbial antagonism to screen out the antagonistic bacteria that can antagonize the growth of biofilm, so as to inhibit the growth of biofilm in irrigation emitters.

The present invention discloses a primer set of LAMP-LFD detection for detecting a leaf curl virus of Melia azedaeach L. and a detection method, and belongs to the field of detection of crop diseases. The primer set of LAMP-LFD visual detection includes five primers: CLSV-F3, CLSV-B3, CLSV-FIP, CLSV-BIP and CLSV-LB and one probe primer: CLSV-Pb. The present invention also provides a visual detection method for a leaf curl virus of Melia azedaeach L., which is a combination of a loop-mediated isothermal amplification method and a lateral flow dipstick to establish an LAMP-LFD method to detect CLSV, so that the results of LAMP amplification detection are more obvious and intuitive. The present invention has the characteristics of high specificity, high sensitivity and simple operation, and is suitable for substrate and field use.