CN117237824B - Forest region harvesting detection equipment based on remote sensing image technology - Google Patents
Forest region harvesting detection equipment based on remote sensing image technology Download PDFInfo
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- CN117237824B CN117237824B CN202311510447.9A CN202311510447A CN117237824B CN 117237824 B CN117237824 B CN 117237824B CN 202311510447 A CN202311510447 A CN 202311510447A CN 117237824 B CN117237824 B CN 117237824B
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- 238000001514 detection method Methods 0.000 title claims abstract description 30
- 238000003306 harvesting Methods 0.000 title claims abstract description 24
- 238000005516 engineering process Methods 0.000 title claims abstract description 23
- 238000012544 monitoring process Methods 0.000 claims abstract description 65
- 238000003860 storage Methods 0.000 claims abstract description 38
- 238000005520 cutting process Methods 0.000 claims abstract description 10
- 239000000523 sample Substances 0.000 claims description 28
- 239000003550 marker Substances 0.000 claims description 19
- 238000003825 pressing Methods 0.000 claims description 12
- 238000000034 method Methods 0.000 claims description 7
- 230000006399 behavior Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000001179 sorption measurement Methods 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/28—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture specially adapted for farming
Abstract
The invention relates to the technical field of detection equipment and discloses forest region harvesting detection equipment based on a remote sensing image technology, which comprises a forest monitoring vehicle and a monitoring center station, wherein a monitoring platform is arranged on the forest monitoring vehicle, a marking unit and a monitoring unit are arranged on the monitoring platform, the monitoring unit is used for monitoring a forest region environment image on the periphery of the forest monitoring vehicle, identifying a harvested tree pile image in the forest region, the marking unit is used for marking the identified harvested tree pile, a marking signal device is arranged on the harvested tree pile, and the position information of the harvested tree pile is sent out through the marking signal device. According to the invention, the small-range forest cutting phenomenon is monitored, the stumps in the forest area are counted, whether new cutting behaviors exist in the forest area or not is judged through the stumps, the cut stumps are marked, the small-range forest cutting phenomenon is recorded in the field, and the cutting phenomenon is recorded and put in storage, so that the environment of the forest area is monitored better.
Description
Technical Field
The invention relates to the field of detection equipment, in particular to forest cutting detection equipment based on a remote sensing image technology.
Background
The remote sensing satellite can monitor the change condition of the forest region by acquiring a high-resolution remote sensing image, the remote sensing image can provide wide coverage range and comprehensive information, can detect a large-range deforestation activity, and provides time sequence data for monitoring the change trend.
The resolution of existing remote sensing images may not capture small-scale harvesting activities, particularly for small-scale illegal harvesting activities, and low-resolution images may be difficult to accurately detect fine variations.
The unmanned aerial vehicle can fly low altitude, and the advantage of detailed image or point cloud data is captured, so that small-scale illegal harvesting signs can be detected and positioned more accurately, and the unmanned aerial vehicle is matched on the basis of monitoring of a remote sensing satellite to implement high-precision monitoring.
In the forest region harvesting monitoring process, the nodding flying height of the unmanned aerial vehicle is always above the crown, the nodding of the unmanned aerial vehicle can be mutually shielded because of the crown of the tree, the signs of harvesting a few low trees cannot be captured, and if the unmanned aerial vehicle flies below the crown to nodding the monitoring, the flying difficulty and avoidance difficulty of the unmanned aerial vehicle can be increased.
For the forest region deforestation phenomenon in a small range, remote sensing images and unmanned aerial vehicle detection in the traditional sense cannot well detect the forest region, so that the forest region deforestation phenomenon in the small range cannot be stopped.
Disclosure of Invention
The invention provides a forest region harvesting detection device based on a remote sensing image technology, which solves the technical problem that the forest region harvesting phenomenon cannot be stopped due to the fact that the remote sensing image and unmanned aerial vehicle detection cannot well detect the forest region aiming at the forest region harvesting phenomenon in a small range in the related technology.
The invention provides a forest region harvesting detection device based on a remote sensing image technology, which comprises a forest monitoring vehicle and a monitoring central station, wherein a monitoring platform is arranged on the forest monitoring vehicle, a marking unit and a monitoring unit are arranged on the monitoring platform, the monitoring unit is used for monitoring a forest region environment image on the periphery of the forest monitoring vehicle, identifying a harvested tree pile image in the forest region, the marking unit is used for marking the identified harvested tree pile, a marking annunciator is arranged on the harvested tree pile, and the position information of the harvested tree pile is sent out through the marking annunciator;
the monitoring unit comprises a rotating table, an image acquisition probe and an axial millimeter wave sensor, wherein the rotating table is provided with a lifting bracket, the image acquisition probe is arranged on the lifting bracket, and the axial millimeter wave sensor is arranged on the lifting bracket;
the marking unit comprises a mechanical arm and a marking assembly, the marking assembly is arranged on the movable end of the mechanical arm, the marking assembly comprises a storage bin, a pressing cylinder, a pressure plate and a nodding probe, the marking annunciator is arranged in the storage bin, the pressure plate is arranged at one end of a piston rod of the pressing cylinder, the pressing cylinder is arranged at the top end of the storage bin, the nodding probe is arranged on the outer side wall of the storage bin, and the nodding probe is used for nodding the cut stump image;
the monitoring center station receives the image sent by the image acquisition probe, the position information sent by the marking annunciator and the shot stump image.
Further, the bottom of the storage bin is provided with a positioning support, a positioning cylinder is arranged outside the bottom of the storage bin, a push plate is arranged at one end of a piston rod of the positioning cylinder, and the push plate is used for moving the marker from the bottom of the storage bin to the positioning support.
Further, the inner walls of the two sides of the storage bin are connected with clamping arms through shafts, and the marking annunciator is arranged between the clamping arms of the two sides.
Further, electromagnets are arranged on the outer side walls of the clamping arms on the two sides, and the opening and closing actions of the clamping arms are controlled through the opening and closing actions of the electromagnets.
Further, the inner walls of the top ends of the storage bins are respectively provided with a supporting spring, the bottom ends of the supporting springs are provided with an abutting plate, and the abutting plates are in abutting connection with the top ends of the marking annunciators.
Further, a longitudinal sliding table is arranged at the tail end of the mechanical arm, and the outer wall of the storage bin is mounted on the longitudinal sliding table.
Further, the marking signal device comprises a signal bin and a contact pin, and the contact pin is arranged on the outer wall of the bottom end of the signal bin.
Further, a detecting element is arranged on the inner wall of the bottom end of the storage bin and is used for detecting whether a signal source in the signal bin is normal or not.
Further, the mechanical arm comprises a rotating seat, a folding arm and an adjusting cylinder, the adjusting cylinder is arranged at the tail end of the folding arm, one end of a piston rod of the adjusting cylinder is connected with the outer wall of the longitudinal sliding table, and the folding arm is arranged on the rotating seat.
The invention also provides a forest cutting detection method based on the remote sensing image technology, which comprises the following steps:
s1: combining a remote sensing image obtained based on remote sensing equipment with an aerial image shot by an unmanned aerial vehicle, and positioning to the remote sensing image and the suspected cut-out region position in the aerial image;
s2: the method comprises the steps that a forest monitoring vehicle is dispatched to monitor a suspected cut area in a live mode, acquires a forest environment image through a monitoring unit, and identifies a target object from the forest environment image, wherein the target object is a cut stump;
s3: the woodland monitoring vehicle drives to the periphery of the target object, a marker is arranged on the cut stumps through a marking unit, the position information of the target object is sent out through the marker, and the marker is a marking annunciator;
s4: the monitoring center station receives the target object image, the position information sent by the marking annunciator and the shot stump image.
The invention has the beneficial effects that: the detection equipment monitors the deforestation phenomenon of the small-range forest zone, calculates the stumps in the forest zone through the forest monitoring vehicle, judges whether new deforestation behaviors exist in the forest zone through the stumps, marks the deforestation, records the deforestation phenomenon of the small-range forest zone in the field, records the deforestation phenomenon in the warehouse, and facilitates better monitoring of the environment of the forest zone.
Drawings
Fig. 1 is a schematic structural diagram of a forest cutting detection device based on a remote sensing image technology;
FIG. 2 is a schematic view of the monitoring range of the woodland monitoring vehicle of FIG. 1 according to the present invention;
FIG. 3 is a schematic diagram of the structure of the marking unit of FIG. 2 according to the present invention;
FIG. 4 is a schematic illustration of the construction of the marking assembly of FIG. 3 in accordance with the present invention;
FIG. 5 is a schematic view of the structure of the vertical section of FIG. 4 of the present invention;
FIG. 6 is a schematic diagram of the results of the marker annunciator of FIG. 5 in accordance with the present invention;
fig. 7 is a flow chart of the cut detection method of the present invention.
In the figure: 100. a woodland monitoring vehicle; 110. a lateral millimeter wave sensor; 200. a marking unit; 210. a mechanical arm; 211. a rotating seat; 212. a folding arm; 213. adjusting a cylinder; 214. a longitudinal sliding table; 220. a marking assembly; 221. a storage bin; 222. a pressing cylinder; 223. a pressure plate; 224. positioning a cylinder; 225. a detection element; 226. a positioning bracket; 227. an electromagnet; 228. a clamp arm; 229. a support spring; 230. a nodding probe; 300. a monitoring unit; 310. a rotating table; 320. an axial millimeter wave sensor; 330. an image acquisition probe; 400. marking an annunciator; 410. a signal bin; 420. and (5) inserting pins.
Description of the embodiments
The subject matter described herein will now be discussed with reference to example embodiments. It is to be understood that these embodiments are merely discussed so that those skilled in the art may better understand and implement the subject matter described herein and that changes may be made in the function and arrangement of the elements discussed without departing from the scope of the disclosure herein. Various examples may omit, replace, or add various procedures or components as desired. In addition, features described with respect to some examples may be combined in other examples as well.
Referring to fig. 1 to 6, a forest harvesting detection device based on a remote sensing image technology comprises a forest monitoring vehicle 100 and a monitoring central station, wherein a monitoring platform is arranged on the forest monitoring vehicle 100, a marking unit 200 and a monitoring unit 300 are arranged on the monitoring platform, the monitoring unit 300 is used for monitoring a forest environment image of the periphery of the forest monitoring vehicle 100, identifying a harvested stump in the forest environment image, the marking unit 200 is used for marking the identified harvested stump, a marking annunciator 400 is arranged on the harvested stump, and the position information of the harvested stump is sent out through the marking annunciator 400;
the monitoring unit 300 comprises a rotating table 310, an image acquisition probe 330 and an axial millimeter wave sensor 320, wherein a lifting bracket is arranged on the rotating table 310, the image acquisition probe 330 is arranged on the lifting bracket, the axial millimeter wave sensor 320 is arranged on the lifting bracket, a servo motor is arranged in the rotating table 310, and the servo motor is used for regulating and controlling the positions of the lifting bracket and the image acquisition probe 330 on the rotating table 310;
the marking unit 200 comprises a mechanical arm 210 and a marking assembly 220, the marking assembly 220 is arranged on the movable end of the mechanical arm 210, the marking assembly 220 comprises a storage bin 221, a lower pressing cylinder 222, a pressure plate 223 and a pitching probe 230, the marking annunciator 400 is arranged in the storage bin 221, the pressure plate 223 is arranged at one end of a piston rod of the lower pressing cylinder 222, the lower pressing cylinder 222 is arranged at the top end of the storage bin 221, the pitching probe 230 is arranged on the outer side wall of the storage bin 221, and the pitching probe 230 is used for pitching the picked tree pile image;
the mechanical arm 210 comprises a rotating seat 211, a folding arm 212 and an adjusting cylinder 213, wherein the adjusting cylinder 213 is arranged at the tail end of the folding arm 212, one end of a piston rod of the adjusting cylinder 213 is connected with the outer wall of the longitudinal sliding table 214, the folding arm 212 is arranged on the rotating seat 211, a servo motor is arranged in the rotating seat 211 and used for adjusting and controlling the position of the folding arm 212 on the rotating table 310;
the bottom of the storage bin 221 is provided with a positioning bracket 226, a positioning cylinder 224 is arranged outside the bottom of the storage bin 221, a push plate is arranged at one end of a piston rod of the positioning cylinder 224, and the push plate is used for moving a marker from the bottom of the storage bin 221 to the positioning bracket 226, wherein the marker is a marker annunciator 400.
The tail end of the mechanical arm 210 is provided with a longitudinal sliding table 214, the outer wall of the storage bin 221 is mounted on the longitudinal sliding table 214, the tail end of the mechanical arm 210 is provided with the longitudinal sliding table 214, the outer wall of the storage bin 221 is mounted on the longitudinal sliding table 214, a driving source is mounted on the longitudinal sliding table 214, the driving source comprises, but is not limited to, a stepping motor, a screw rod and a sliding table, the sliding table is mounted on the outer wall of the storage bin 221, an output shaft of the stepping motor is connected with the screw rod, and the stepping motor drives a marking assembly 220 on the sliding table to move along the longitudinal sliding table 214 through the screw rod.
It should be noted that, the inner walls of both sides of the storage bin 221 are connected with clamping arms 228 through shafts, a reset spring is arranged between both sides of the clamping arms 228 and the bin wall of the storage bin 221, the marking annunciator 400 is arranged between the clamping arms 228 on both sides, electromagnets 227 are arranged on the outer side walls of the clamping arms 228 on both sides, the opening and closing actions of the clamping arms 228 are controlled through the opening and closing actions of the electromagnets 227, supporting springs 229 are arranged on the inner walls of the top end of the storage bin 221, an abutting plate is arranged at the bottom end of the supporting springs 229, and the abutting plate is in abutting connection with the top end of the marking annunciator 400;
the detecting element 225 is disposed on the inner wall of the bottom end of the storage bin 221, and the detecting element 225 is used for detecting whether the signal source in the signal bin 410 is normal, where the detecting element 225 includes, but is not limited to, a detecting circuit, a detecting power source and a detecting rod, the detecting end of the detecting power source is connected with the detecting rod, the detecting power source is connected in series with the detecting circuit, the bottom end of the marking signal device 400 is abutted to the detecting rod, and whether the marking signal device 400 operates normally or not is detected by the detecting circuit, and the detecting element 225 is of the prior art, so that the detecting process is not repeated.
As shown in fig. 6, the marking signal device 400 includes a signal bin 410 and a pin 420, the pin 420 is disposed on the outer wall of the bottom end of the signal bin 410, and the signal bin 410 includes, but is not limited to, a signal transmitting end, a signal receiving end and a test lamp, and the test lamp is connected with the pin 420;
it should be noted that, the lateral millimeter wave sensors 110 are disposed on two sides of the vehicle 100, and the lateral millimeter wave sensors 110 and the axial millimeter wave sensor 320 are used together to assist in track and route planning of the vehicle 100.
The monitoring center receives the image from the imaging probe 330, the position information from the marker annunciator 400, and the nodded stump image.
It is noted that different telemetry images and live images may need to be processed using different methods and parameters. Therefore, in actual operation, adjustment and optimization are necessary according to the specific circumstances. Meanwhile, by combining professional remote sensing knowledge and image processing technology, different time sequence distinguishing parts in the remote sensing image can be better extracted.
The image capturing probe 330 and the nodding probe 230 include, but are not limited to, high-resolution cameras or sensors such as laser radars, and the image capturing probe 330 and the nodding probe 230 are both in the prior art, and the processes of capturing images, identifying targets and processing are not described in detail.
As shown in fig. 7, a forest harvesting detection method based on remote sensing image technology includes the following steps:
s1: combining a remote sensing image obtained based on remote sensing equipment with an aerial image shot by an unmanned aerial vehicle, and positioning to the remote sensing image and the suspected cut-out region position in the aerial image;
the remote sensing equipment shoots remote sensing images of the same area at different time, the remote sensing images are compared to obtain image distinguishing points, then the unmanned aerial vehicle shoots high-altitude images at the high-altitude of the image distinguishing points, and detailed images or point cloud data of trees in forests are monitored through the high-altitude images;
the height of the unmanned aerial vehicle is above the crown of the woodland tree, the image is judged by the influence of crown superposition, and step S2 is needed;
s2: the method comprises the steps that a forest monitoring vehicle 100 is dispatched to monitor a suspected cut area in a live mode, the forest monitoring vehicle 100 obtains a forest environment image through a monitoring unit 300, and a target object is identified from the forest environment image and is a cut stump;
the woodland monitoring vehicle 100 can be used for patrol monitoring on the suspected deforestation area position through remote control and planning a travel path by matching with the image acquisition probe 330, the axial millimeter wave sensor 320 and the lateral millimeter wave sensor 110;
s3: the woodland monitoring vehicle 100 drives to the periphery of the target object, a marker is arranged on the cut stumps through the marking unit 200, and the position information of the target object is sent out through the marker, and the marker is a marking annunciator 400;
specifically, the mechanical arm 210 is used for adjusting, the marking assembly 220 is driven to move to the position right above the stump after harvesting, the longitudinal sliding table 214 is used for adjusting the marking assembly to move to the stump after harvesting, the adsorption state of the electromagnet 227 is relieved, and the clamping arm 228 releases the marking annunciator 400 to one end of a piston rod of the positioning cylinder 224 under the action of a reset spring;
the positioning cylinder 224 pushes the released marking annunciator 400 to the positioning bracket 226, and then the pressing plate 223 is driven by the pressing cylinder 222 to move downwards, so that the marking annunciator 400 is pressed into the cut stump from the positioning bracket 226;
and then the tree stump inserted with the marking annunciator 400 is shot through the shot probe 230, wherein the marking annunciator 400 is provided with a unique number, and tree stump information and the number information of the marking annunciator 400 can be obtained on an image shot by the shot probe 230 and are transmitted to a database of the monitoring central station together.
S4: the monitoring central station receives the target object image, the position information sent by the marking annunciator 400 and the shot tree stump image, and judges whether the cut tree stumps exist in the suspected cut area position by judging the number of the cut tree stumps in the database and indicating that new cut phenomena exist if the number of the cut tree stumps is increased.
The embodiment has been described above with reference to the embodiment, but the embodiment is not limited to the above-described specific implementation, which is only illustrative and not restrictive, and many forms can be made by those of ordinary skill in the art, given the benefit of this disclosure, are within the scope of this embodiment.
Claims (10)
1. The forest cutting detection equipment based on the remote sensing image technology comprises a forest monitoring vehicle (100) and a monitoring central station and is characterized in that a monitoring platform is arranged on the forest monitoring vehicle (100), a marking unit (200) and a monitoring unit (300) are arranged on the monitoring platform, the monitoring unit (300) is used for monitoring a forest environment image on the periphery of the forest monitoring vehicle (100) and identifying a cut stump image in the forest, the marking unit (200) is used for marking the identified cut stump and arranging a marking annunciator (400) on the cut stump, and the marking annunciator (400) is used for sending the position information of the cut stump;
the monitoring unit (300) comprises a rotating table (310), an image acquisition probe (330) and an axial millimeter wave sensor (320), wherein a lifting bracket is arranged on the rotating table (310), the image acquisition probe (330) is arranged on the lifting bracket, and the axial millimeter wave sensor (320) is arranged on the lifting bracket;
the marking unit (200) comprises a mechanical arm (210) and a marking assembly (220), the marking assembly (220) is arranged on the movable end of the mechanical arm (210), the marking assembly (220) comprises a storage bin (221), a pressing cylinder (222), a pressure plate (223) and a pitching probe (230), the marking annunciator (400) is arranged in the storage bin (221), the pressure plate (223) is arranged at one end of a piston rod of the pressing cylinder (222), the pressing cylinder (222) is arranged at the top end of the storage bin (221), the pitching probe (230) is arranged on the outer side wall of the storage bin (221), and the pitching probe (230) is used for pitching a picked tree pile image;
the monitoring central station receives the image sent by the image acquisition probe (330), the position information sent by the marking annunciator (400) and the shot stump image.
2. The forest harvesting detection device based on the remote sensing image technology according to claim 1, wherein a positioning bracket (226) is arranged at the bottom end of the storage bin (221), a positioning cylinder (224) is arranged outside the bottom end of the storage bin (221), a push plate is arranged at one end of a piston rod of the positioning cylinder (224), and the push plate is used for moving a marker from the bottom end of the storage bin (221) to the positioning bracket (226).
3. The forest harvesting detection device based on the remote sensing image technology as claimed in claim 2, wherein the two side inner walls of the storage bin (221) are connected with clamping arms (228) through shafts, and the marking annunciator (400) is arranged between the two side clamping arms (228).
4. A forest harvesting detection device based on remote sensing image technology as claimed in claim 3, wherein the outer side walls of the clamping arms (228) at both sides are respectively provided with an electromagnet (227), and the opening and closing actions of the clamping arms (228) are controlled by the opening and closing actions of the electromagnets (227).
5. The forest harvesting detection device based on the remote sensing image technology as claimed in claim 4, wherein supporting springs (229) are arranged on the inner wall of the top end of the storage bin (221), an abutting plate is arranged at the bottom end of each supporting spring (229), and the abutting plates are in abutting connection with the top end of the marking annunciator (400).
6. The forest harvesting detection device based on the remote sensing image technology as claimed in claim 5, wherein a longitudinal sliding table (214) is arranged at the tail end of the mechanical arm (210), and the outer wall of the storage bin (221) is mounted on the longitudinal sliding table (214).
7. The forest harvesting detection device based on the remote sensing image technology as claimed in claim 6, wherein the marker signal device (400) comprises a signal bin (410) and a pin (420), and the pin (420) is arranged on the bottom end outer wall of the signal bin (410).
8. The forest harvesting detection device based on the remote sensing image technology as claimed in claim 7, wherein a detection element (225) is arranged on the inner wall of the bottom end of the storage bin (221), and the detection element (225) is used for detecting whether the signal source in the signal bin (410) is normal or not.
9. The forest harvesting detection device based on the remote sensing image technology according to claim 8, wherein the mechanical arm (210) comprises a rotating seat (211), a folding arm (212) and an adjusting cylinder (213), the adjusting cylinder (213) is arranged at the tail end of the folding arm (212), one end of a piston rod of the adjusting cylinder (213) is connected with the outer wall of the longitudinal sliding table (214), and the folding arm (212) is arranged on the rotating seat (211).
10. A forest cutting detection method based on a remote sensing image technology, which is implemented by using the forest cutting detection device based on the remote sensing image technology as set forth in any one of claims 1 to 9, and is characterized by comprising the following steps:
s1: combining a remote sensing image obtained based on remote sensing equipment with an aerial image shot by an unmanned aerial vehicle, and positioning to the remote sensing image and the suspected cut-out region position in the aerial image;
s2: the method comprises the steps that a forest monitoring vehicle (100) is dispatched to monitor a suspected cut area in a live mode, the forest monitoring vehicle (100) obtains a forest environment image through a monitoring unit (300) and identifies a target object from the forest environment image, and the target object is a cut stump;
s3: the woodland monitoring vehicle (100) drives to the periphery of the target, a marker unit (200) is used for installing a marker on the cut stumps, and the marker is used for sending out the position information of the target, wherein the marker is a marker annunciator (400);
s4: the monitoring center station receives the target object image, the position information sent by the marking annunciator (400) and the shot stump image.
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| CN202311510447.9A CN117237824B (en) | 2023-11-14 | 2023-11-14 | Forest region harvesting detection equipment based on remote sensing image technology |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311510447.9A CN117237824B (en) | 2023-11-14 | 2023-11-14 | Forest region harvesting detection equipment based on remote sensing image technology |
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| CN117237824A CN117237824A (en) | 2023-12-15 |
| CN117237824B true CN117237824B (en) | 2024-02-02 |
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| CN1276700A (en) * | 1996-10-23 | 2000-12-13 | 本格特·索维克 | Method for timber harvesting and system for forestry |
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2023
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| CN1276700A (en) * | 1996-10-23 | 2000-12-13 | 本格特·索维克 | Method for timber harvesting and system for forestry |
| CN109240304A (en) * | 2018-10-15 | 2019-01-18 | 南京林业大学 | A kind of precision planting system and method |
| CN114258265A (en) * | 2019-08-14 | 2022-03-29 | 蓬塞有限公司 | Method and system in a forest machine |
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