Some implementations herein relate to a graphical user interface (GUI) that facilitates dynamically partitioning agricultural fields into clusters on an individual agricultural field-basis using agricultural features. A map of a geographic area containing a plurality of agricultural fields may be rendered as part of a GUI. The agricultural fields may be partitioned into a first set of clusters based on a first granularity value and agricultural features of individual agricultural fields. The individual agricultural fields may be visually annotated in the GUI to convey the first set of clusters of similar agricultural fields. Upon receipt of a second granularity value different from the first granularity value, the agricultural fields may be partitioned into a second set of clusters of similar agricultural fields. The map of the geographic area may be updated so that individual agricultural fields are visually annotated to convey the second set of clusters.

The present invention provides a compressed air artificial wind system including compressed air storage device, compressed air discharge device, artificial wind system base and controller; also a firefighting equipment including an extinguishing agent tank and the compressed air artificial wind system. The compressed air storage device includes row tubes and manifolds for production and storage of high/ultra-high pressure compressed air; the compressed air discharge device includes intake pipe, expansion chamber, Laval nozzle and wind-blowing tube; the artificial wind system base is built as an infrastructure. Large quantity of high/ultra-high pressure compressed air under control from the compressed air storage device and through the compressed air discharge device to spray out generating artificial wind with large air volume and high wind speed for meteorological control, forest firefighting, air defence and coastal defence, respectively.

According to an aspect, there is provided a method and system for predicting a forest stand target attribute. The solution uses direct indicator data about forest stands, indirect indicator data about the forest stands and empirical measurement data about the forest stands to build a trained model for a forest stand target attribute. Using the trained model, it is possible to predict, for a given forest stand, the value of the forest stand target attribute.

A method is provided of calculating the total amount of artificial precipitation in a seeded area compared to a non-seeded area, which is capable of increasing the reliability of quantitative determination of seeding effect, observation data, and numerical model prediction data obtained from artificial precipitation experiments, of increasing the amount of water resources through weather modification experiments, of accomplishing various effects (drought reduction, forest fire prevention, fine dust reduction, fog reduction, hail suppression, etc.) and other related applications through artificial rainfall experiments, of improving the accuracy of correction and prediction of a numerical model obtained through weather modification experiments based on observation data, of establishing experimental and observation strategies for improving seeding efficiency in weather modification experiments, of developing the field of study on cloud development and fine physical changes in the cloud after seeding, and of improving the economic feasibility of artificial rainfall experiments.

Disclosed is a preparation method of polybutylene adipate terephthalate (PBAT)-polylactic acid (PLA) blend films modified by an epoxidized cardanol-based chain extender, belonging to the technical field of biodegradable film processing. The modified PBAT-PLA blend films include raw materials in parts by weight of 80-85 parts of PBAT, 15-20 parts of PLA, and 0.5-1.5 parts of the epoxidized chain extender, where the epoxidized chain extender is an epoxidized cardanol-based chain extender. The preparation method includes the following steps: mixing PBAT, PLA and the epoxidized chain extender, and performing melting, extruding and granulating to obtain a blends masterbatch, then extrusion blowing the blends masterbatch into a film to obtain the PBAT-PLA blend film modified by the epoxidized cardanol-based chain extender.

A method for planting crops that involves covering the planted seeds of the crop with an elongate sheet of mulch. The elongate sheet of mulch has lateral edges that determine its width. A combustible cord that is affixed to it between the lateral edges. The combustible cord may be formed within plies of the mulch or adhered thereto. The mulch is placed over the planted crop and held in place over the crop. This may be done by burying lateral edges of the mulch. When a user of the mulch wishes to remove the mulch, he will burn the combustible cord and that will separate the mulch along the cord.

A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

The invention relates to a method for early detection of a forest fire using an end device having a sensor unit, the sensor unit performing signal detection in a first signal detection mode and in a second signal detection mode, and to a forest fire early detection system for performing the method.

A method for identifying a forest fire special dangerous terrain includes: obtaining raw digital elevation model (DEM) data of a valley and inverse raw DEM data of a ridge in a target area; extracting an elevation difference and a first derivative of a contour line within a preset range of the target area according to the raw DEM data and/or the inverse raw DEM data; calculating a danger level value of the target area based on the elevation difference and the first derivative of the contour line, in which, when the danger level value is greater than a preset threshold, it is determined that the target area is a dangerous terrain of a valley between two mountains or a narrow ridge.

The present disclosure relates to a mulch film laying robot and a mulch film laying method. The mulch film laying robot comprises a walking mechanism for walking, a mulch film laying mechanism for mulch film laying, a mulch film compaction mechanism for compacting a laid mulch film, and a reconfiguration mechanism for a robot to cross obstacles. The walking mechanism comprises a plurality of pairs of vertical supports, rollers are arranged at the lower ends of the vertical supports, walking rotating motors for driving the rollers are arranged at the bottoms of two pairs of vertical supports at both ends of the walking mechanism, and the vertical supports on the same side are sequentially connected and fixed by transverse connecting rods. The reconfiguration mechanism is arranged between each pair of vertical supports, and the reconfiguration mechanism comprises two reconfiguration arms.