6 results about "Headland" patented technology

This invention provides a management method and management system that can improve the usability of selecting work items and setting work information. [Solution] The management method for the combine harvester 2, which is a work vehicle capable of autonomous driving, involves, for example, using the operator's management terminal 3, notifying the operator that the previously harvested area 191c (previously harvested land) where the combine harvester 2 has performed harvesting work has not reached the headland area 191e, which is the area required as a headland when the combine harvester 2 performs autonomous driving, or notifying the operator that the previously harvested area 191c has reached the headland area 191e, if the previously harvested area 191c has reached the headland area 191e.

To allow work vehicles to perform tasks within a designated area of ​​the field without reducing work efficiency. [Solution] The area adjustment system 99 comprises an adjustment unit 35 and a travel path setting unit 34. The adjustment unit 35 can adjust the central work area included in the field and the headland area set around the central work area. The travel path setting unit 34 sets a first work path that drives the tractor 1 to work in the central work area and a second work path that drives the tractor 1 to work in the headland area, based on the working width of the tractor 1. If the expected work area that is expected to be worked on by the tractor 1 traveling along the first work path becomes smaller than the central work area in a second direction perpendicular to the first direction which is the direction of travel of the tractor 1, and an unworked area occurs in the central work area, the adjustment unit 35 adjusts the central work area and the headland area so that the unworked area is included in the headland area.

The invention provides a near-shore ocean front identification method based on Lagrange particle statistics, and belongs to the technical field of ocean environment numerical simulation, and the method comprises the steps: constructing a target sea area hydrodynamic model to simulate a water flow state; performing Lagrange particle tracking according to the constructed target sea area hydrodynamic model to obtain distribution information of particles in time and space; carrying out relative dispersion analysis on the obtained distribution information of the particles in time and space, counting and analyzing the change characteristics of the particles along with time, and obtaining the spatial distribution characteristics of the relative dispersion; and identifying and calibrating the position of the ocean front by using the spatial distribution characteristics of the relative dispersion. According to the method, the Lagrange particle tracking technology is combined with relative dispersion analysis, the method is used for recognizing frontal surface structures such as the offshore capes, the estuary fronts and the land frame fronts, and accurate prediction and recognition of the ocean frontal surfaces are achieved.

The present invention pertains to a method to enable a human operator to have a piece of land cultivated, the method comprising providing an autonomous agricultural vehicle that is able to perform an agricultural operation, providing a processing unit to generate a cultivation plan for the piece of land, which plan comprises multiple distinct paths that spatially extend over the piece of land, e.g in parallel, in which plan the piece of land is divided into a headland section and a mainland section, providing input data to the processing unit, on the basis of which input data the processing unit calculates for the multiple distinct paths, a) the positioning of the paths on the piece of land and b) the direction in which the paths extend over the piece of land, and controlling the autonomous agricultural vehicle such that it autonomously crosses the land by moving over the said multiple distinct paths, while performing the agricultural operation in order to cultivate the piece of land, wherein in the method, before the agricultural vehicle is controlled to cross the land, the human operator is provided the option to determine that either the headland section or the mainland section are exclusively cultivated. The invention also pertains to a method and system for generating a cultivation plan for such an autonomous vehicle.

The invention discloses a Cjia bay static equilibrium shoreline prediction method based on CNN-BiLSTM, and belongs to the field of coast engineering and remote sensing information.The method comprises the steps that remote sensing images and tide and wave data are collected, and a training and testing sample set is constructed; establishing a polar coordinate system by taking the capes diffraction point as an original point, uniformly selecting feature points along a shore line, calculating parameters of the feature points, and associating dynamic data to construct a multi-dimensional feature system; building a CNN-BiLSTM hybrid model, extracting spatial features between feature points by using CNN, capturing a shoreline time sequence evolution rule by using BiLSTM, and training and integrating the model; quantifying independent and interactive contributions of each dynamic factor by adopting an SHAP value analysis method, and identifying a core influence factor; and finally, predicting the static balance shoreline form based on actually measured data. According to the invention, high-precision and explainable prediction of the balance shoreline of the Zojia bay is realized, and a multi-power coupling action mechanism is effectively revealed.