CN110262554A - A kind of unmanned plane of Automatic-searching wild mushroom - Google Patents
A kind of unmanned plane of Automatic-searching wild mushroom Download PDFInfo
- Publication number
- CN110262554A CN110262554A CN201910605886.5A CN201910605886A CN110262554A CN 110262554 A CN110262554 A CN 110262554A CN 201910605886 A CN201910605886 A CN 201910605886A CN 110262554 A CN110262554 A CN 110262554A
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- CN
- China
- Prior art keywords
- wild mushroom
- automatic
- searching
- unmanned plane
- artificial intelligence
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/10—Simultaneous control of position or course in three dimensions
- G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
Abstract
The present invention discloses a kind of unmanned plane of Automatic-searching wild mushroom, it is built-in with artificial intelligence module on the basis of common unmanned plane, the artificial intelligence module has the function of that GPS automatic positioning, identification, tracking, passback and data show wild mushroom information, to achieve the purpose that Automatic-searching wild mushroom.Its structure is simple, easy to operate, scientific reliable, and production cost is low, can be widely applied to the field work of Automatic-searching wild mushroom, therefore can greatly reduce the artificial difficulty and cost found and acquire wild mushroom, further increases the efficiency of acquisition wild mushroom.
Description
Technical field
Equipment the present invention relates to wild mushroom is found, especially a kind of unmanned plane of Automatic-searching wild mushroom.
Background technique
Currently, annual a large amount of wild mushroom is grown in, south China, Guizhou and Yunnan etc. are regional, and still, a large amount of wild mushroom goes out
Existing situs ambiguus, causing worker to acquire, wild mushroom is difficult, and acquisition wild mushroom low efficiency seriously expends the people of acquisition wild mushroom
Work cost.
Summary of the invention
The invention aims to provide a kind of unmanned plane of Automatic-searching wild mushroom, to overcome current needs manually side
Formula finds wild mushroom, to acquire wild mushroom, causes to acquire wild mushroom difficulty and acquires wild mushroom low efficiency, and acquire wild mushroom
Cost of labor is excessively high.
The object of the present invention is achieved like this: a kind of unmanned plane of Automatic-searching wild mushroom of the present invention, it is common
Design has artificial intelligence module on the basis of unmanned plane, and the artificial intelligence module has GPS automatic positioning, identification, tracking, returns
The function that wild mushroom information is shown with data is passed, to achieve the purpose that Automatic-searching wild mushroom.
Heretofore described artificial intelligence module is by the geographic factor frequently occurred in the wild mushroom of field grown, soil item
Part, the growth rhythm of amblent air temperature and wild mushroom, mechanical periodicity, color shape, smell habit are converted into computer data,
In conjunction with GPS system, data Fuzzy Processing is carried out, then, this processing data processed result is inputted by computer, is cured to institute
It states in artificial intelligence module.
The configuration of the present invention is simple, it is easy to operate, scientific reliable, and production cost is low, can be widely applied to Automatic-searching open country
The field work of raw bacterium, thus can greatly reduce the artificial blindness for finding wild mushroom, poor efficiency and acquire wild mushroom difficulty and
Cost, to further increase the efficiency of acquisition wild mushroom.
Four, Detailed description of the invention
It Fig. 1, is structural schematic diagram proposed according to the present invention.
Five, specific embodiment
Structure and technical solution of the invention are further described with reference to the accompanying drawings and examples:
Marked in the figure: 1, unmanned plane;2, artificial intelligence module.
The unmanned plane 1 of a kind of Automatic-searching wild mushroom of the invention in the figure, it is interior on the basis of common unmanned plane 1
It is equipped with artificial intelligence module 2, the artificial intelligence module 2 has GPS automatic positioning, identification, tracking, passback, data display wild
The function of raw bacterium information, to achieve the purpose that Automatic-searching wild mushroom.
Main operational principle of the invention is: by the geographic factor frequently occurred in the wild mushroom of field grown, soil item
Part, the growth rhythm of amblent air temperature and wild mushroom, mechanical periodicity, color shape, smell habit are converted into computer data,
In conjunction with GPS system, data Fuzzy Processing is carried out, then, this processing data processed result is inputted by computer, is cured to institute
It states in artificial intelligence module 2, finally, the artificial intelligence module 2 is built in common unmanned plane 1.It is let fly away when in field
When of the invention, have the function of that automatic positioning, identification, tracking, passback and data show wild mushroom information by GPS system,
Dispersion can be grown in the location information of the wild mushroom of each different places, data back, be shown in the present invention, people
Just wild mushroom is purposefully captured with these data, information and purpose very clearly finds wild mushroom to field, thus,
It further reduces previous people and finds the blindness of wild mushroom, and substantially reduce difficulty, cost and the worker of acquisition wild mushroom
Labor intensity, thus also increase substantially acquisition wild mushroom efficiency.
Above-described is only preferred embodiments of the invention.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the principle of the present invention, several variations and modifications can also be made, this is also considered as belonging to guarantor of the invention
Protect range.
Claims (2)
1. a kind of unmanned plane of Automatic-searching wild mushroom, it is characterised in that: it is built-in on the basis of common unmanned plane (1)
Artificial intelligence module (2), the artificial intelligence module (2) have GPS automatic positioning, identification, tracking, passback and data display wild
The function of raw bacterium information.
2. a kind of unmanned plane of Automatic-searching wild mushroom according to claim, it is characterised in that: the artificial intelligence mould
Block (2) is by the life of the geographic factor, edaphic condition, amblent air temperature and the wild mushroom that frequently occur in the wild mushroom of field grown
Long rule, mechanical periodicity, color shape, smell habit are converted into computer data, in conjunction with GPS system, carry out the fuzzy place of data
Reason is inputted this processing data processed result by computer, to be cured to the artificial intelligence module (2) inner.
Priority Applications (1)
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CN201910605886.5A CN110262554A (en) | 2019-07-05 | 2019-07-05 | A kind of unmanned plane of Automatic-searching wild mushroom |
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CN201910605886.5A CN110262554A (en) | 2019-07-05 | 2019-07-05 | A kind of unmanned plane of Automatic-searching wild mushroom |
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CN110262554A true CN110262554A (en) | 2019-09-20 |
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CN201910605886.5A Pending CN110262554A (en) | 2019-07-05 | 2019-07-05 | A kind of unmanned plane of Automatic-searching wild mushroom |
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Citations (7)
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CN104121893A (en) * | 2014-08-01 | 2014-10-29 | 江苏恒创软件有限公司 | Unmanned machine-based wild animal community condition monitoring method |
CN105759838A (en) * | 2016-05-11 | 2016-07-13 | 北方民族大学 | Plant growth condition monitoring device and method based on unmanned aerial vehicle |
CN206945982U (en) * | 2017-07-12 | 2018-01-30 | 谢冰冰 | A kind of unmanned plane formula pollution source monitoring system based on satellite fix |
CN109030385A (en) * | 2018-07-05 | 2018-12-18 | 武汉捷特航空科技有限公司 | A kind of unmanned plane EO-1 hyperion crop yield analysis system |
CN109115268A (en) * | 2018-07-31 | 2019-01-01 | 佛山市高明曦逻科技有限公司 | Intelligent agriculture plant growth information acquisition system |
CN109260624A (en) * | 2018-09-10 | 2019-01-25 | 河南省云乐科技有限公司 | A kind of efficient fire-fighting and rescue unmanned plane |
US20190059724A1 (en) * | 2017-08-29 | 2019-02-28 | International Business Machines Corporation | Detection of contagious diseases using unmanned aerial vehicle |
-
2019
- 2019-07-05 CN CN201910605886.5A patent/CN110262554A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104121893A (en) * | 2014-08-01 | 2014-10-29 | 江苏恒创软件有限公司 | Unmanned machine-based wild animal community condition monitoring method |
CN105759838A (en) * | 2016-05-11 | 2016-07-13 | 北方民族大学 | Plant growth condition monitoring device and method based on unmanned aerial vehicle |
CN206945982U (en) * | 2017-07-12 | 2018-01-30 | 谢冰冰 | A kind of unmanned plane formula pollution source monitoring system based on satellite fix |
US20190059724A1 (en) * | 2017-08-29 | 2019-02-28 | International Business Machines Corporation | Detection of contagious diseases using unmanned aerial vehicle |
CN109030385A (en) * | 2018-07-05 | 2018-12-18 | 武汉捷特航空科技有限公司 | A kind of unmanned plane EO-1 hyperion crop yield analysis system |
CN109115268A (en) * | 2018-07-31 | 2019-01-01 | 佛山市高明曦逻科技有限公司 | Intelligent agriculture plant growth information acquisition system |
CN109260624A (en) * | 2018-09-10 | 2019-01-25 | 河南省云乐科技有限公司 | A kind of efficient fire-fighting and rescue unmanned plane |
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Application publication date: 20190920 |
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