A hierarchical early-warning system for landslide probability issues a first level warning based on measured rainfall amounts exceeding a determined threshold, a second level warning, after the first level warning, based additionally on measured soil moisture content measured at different levels, and Factor of safety derived from forecasted pore pressure (FPP) each exceeding a determined threshold, a third level warning, after the first and the second level warnings, based additionally on ground movement measurements compared to a determined threshold, and a fourth level warning after the first, second and third level warnings, based additionally on data from movement-based sensors including strain gauge data.

Methods and system for determining water activity of a sample material are disclosed in which a sample material is positioned in a water activity measurement device, a plurality of water activity values of the sample material are measured at a respective plurality of points of time, with the plurality of points in time preceding an equilibrium state of the water activity of the sample material, the plurality of water activity values over time are log-transformed, a trendline of the plurality of water activity values over time is calculated, and the trendline is extrapolated to determine an extrapolated water activity value of the sample material at the equilibrium state. These methods and systems can decrease the time needed to determine the water activity of the sample by reliably predicting and estimating water activity well before equilibrium is reached in the measurement chamber.

A farming machine moves through a field and performs one or more farming actions (e.g., treating one or more plants) in the field. Portions of the field may include moisture, such as puddles or mud patches. A control system associated with the farming machine may include a traversability model and/or a moisture model to help the farming machine operate in the field with the moisture. In particular, the control system may employ the traversability model to reduce the likelihood of the farming machine attempting to traverse an untraversable portion of the field, and the control system may employ the moisture model to reduce the likelihood of the farming machine performing an action that will damage a portion of the field.

A device for measuring a chemical potential of a fluid in a plant tissue includes a cavity disposed within a sensor body as a liquid reservoir. The cavity is configured for containing therein a liquid, and the cavity including at least one opening. At least two porous membrane layers are positioned at least in part over the at least one opening of the cavity for selectively allowing water transfer between the plant fluid and the liquid in the cavity. At least one pressure sensor is configured for detecting changes in pressure of the liquid in the cavity. The changes are related to a chemical potential of the fluid in the plant tissue.

The present invention discloses a landslide experimental device for remotely controlling and simulating a constant seepage flow and weight load and an experimental method thereof in centrifuge test. The landslide experimental device includes a model box, a landslide device, a near-constant water flow control box, remote control devices and a water outlet pipe. The landslide device comprises a landslide model, a load balancing device, a weight storage device, an angle control panel and a tension bar. The remote control devices are arranged at the control box water outlet, at the control box water inlet, on the tension bar, on telescoping control sensors and on the weight storage device, respectively. With the present invention, the influences on the stability of landslide model with different landslide angles under the condition of the seepage flow and weight load can be simulated.

The present technology generally relates to a porous medium parameter measurement device. The porous medium parameter measurement device comprises: a liquid permeable portion comprising a fluid permeable component and a polymer swellable solution; and comprises a gas permeable portion comprising a gas permeable component. The liquid permeable portion is in operative communication with the gas permeable portion through the gas permeable component; and the gas permeable component acts to purge gases from the liquid permeable component and the polymer swellable solution.

A batteryless, chipless, sensor is disclosed which includes a substrate, at least two conductive strips disposed on the substrate, a passivation layer encasing the substrate and the at least two conductive strips, wherein the conductive strips are adapted to respond to an interrogation signal from a reader having a first polarization, with a response signal at a second polarization different than the first polarization.

An agricultural implement wear monitoring system that monitors a first component of an agricultural implement. A sensor detects and emits a signal indicative of a first geometric dimension of the first component and/or a second geometric dimension of the first component relative to a second component. A controller couples to the sensor. The controller monitors the first geometric dimension and/or the second geometric dimension, and in response to a detected change in the first geometric dimension and/or the second geometric dimension determines a remaining service life of the first component.

An embodiment of the present invention provides a green information measuring system, including: a first device configured to measure an electrical characteristic of soil through at least one electrode when a first condition is satisfied; and a second device configured to receive soil information of the soil from the first device and to transmit the soil information to a server when a second condition is satisfied.

A solution for evaluating a medium using electrical signals is described. A plurality of electrical signals having different frequencies are transmitted through the medium and signal data corresponding to the electrical signals after having traveled through the medium is acquired. A complex impedance and a complex permittivity and/or complex conductivity can be calculated for the medium. A set of characteristics of the medium can be computed using mixing models and/or known information of the medium. A level of one or more attributes of the medium can be determined from the characteristics using nonparametric Bayesian inference. One particular application is directed to determining a nitrate level of soil.