JP2005237317A - Minute insect-catching apparatus and image processing counting method - Google Patents

Minute insect-catching apparatus and image processing counting method Download PDF

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JP2005237317A
JP2005237317A JP2004053067A JP2004053067A JP2005237317A JP 2005237317 A JP2005237317 A JP 2005237317A JP 2004053067 A JP2004053067 A JP 2004053067A JP 2004053067 A JP2004053067 A JP 2004053067A JP 2005237317 A JP2005237317 A JP 2005237317A
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insects
adhesive sheet
image processing
generation
type adhesive
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Mitsuyoshi Takeda
光能 武田
Yasushi Sato
安志 佐藤
Masahiro Miyazaki
昌宏 宮崎
Daisuke Miyama
大介 深山
Takuya Araki
琢也 荒木
Hiroaki Imura
裕朗 井村
Atsushi Kageyama
淳 影山
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Nat Agric & Bio Oriented Res
National Agriculture and Bio Oriented Research Organization NARO
Terada Seisakusho Co Ltd
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Nat Agric & Bio Oriented Res
National Agriculture and Bio Oriented Research Organization NARO
Terada Seisakusho Co Ltd
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<P>PROBLEM TO BE SOLVED: To provide a minute insect-catching apparatus and an image processing counting method capable of quickly and accurately grasping occurrence of various kinds of insects even if a person is not an expert, because expert knowledge is required in order to determine small insects by visual observation, though size and generation period of insects parasitized in farm products are all different and large insects can be determined by visual observation. <P>SOLUTION: The minute insect-catching apparatus is constituted of a fan installed in the vicinity of a generation part, a motor for driving the fan, a cell used as an electric source for the motor and a cartridge type adhesive sheet for blowing sucked air in order to research numbers of generation of insects parasitized or fried in farm products and the apparatus counts the generation amount. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

茶樹、果樹、野菜等の農作物に寄生、飛来する害虫や益虫と呼ばれる各種昆虫の発生量を調べ、農作物の栽培指針を得るための装置と方法に関する。   The present invention relates to an apparatus and method for obtaining the cultivation guidelines for agricultural crops by examining the generation amounts of various insects called pests and beneficial insects parasitizing and flying in agricultural crops such as tea trees, fruit trees and vegetables.

農業技術分野における、害虫の発生を画像にて識別する従来の技術には、下記のものがある。正常な作物を最初に撮影記憶しておき、次に病気や害虫に侵された作物の上を跨ぎ、正常、不正常の差で病気、害虫を発見し、併せて農薬の散布まで行う病害検出・防除機(例えば、特許文献1)や、フェロモン剤又はライトで誘引し、CCDカメラ又はビデオカメラで撮影をして画像を管理者が見て目視判断をする装置(例えば、特許文献2)や、単体の1枚づつの粘着シートを農作物(みかん)の枝にぶらさげて自然付着させた粘着シートを定期的に人力で回収し、XYプロッターに取り付けられたデジタルカメラにて撮影し、害虫チャノキイロアザミウマを計数するもの(例えば、非特許文献1、2、3)や、フェロモン剤で誘引した害虫を粘着板にて捕獲し、画像処理により識別計数するシステム(例えば、非特許文献4)や地表部に吸い込み式機械を設置して、自動で作動するロール状粘着シートに昆虫を吹き付けてその場で撮影しコンピューターにて画像処理計数をする装置(例えば、特許文献3)などがある。これらの従来の技術は、各種の理由により、いずれも普及には至っていない。
特開平6−424号公報 特開2001−45945号公報 特願2003−189587号公報 静岡県沼津工業技術センター研究報告第2号「難防除微小害虫の高速無人計数装置の開発に関する研究(第1報)」 静岡県沼津工業技術センター研究報告第3号「難防除微小害虫の高速無人計数装置の開発に関する研究(第2報)」 静岡県沼津工業技術センター研究報告第4号「難防除微小害虫の高速無人計数装置の開発に関する研究(第3報)」 2003年北海道立工業試験場技術支援成果事例集
In the agricultural technology field, conventional techniques for identifying the occurrence of pests with images include the following. Disease detection where normal crops are photographed and memorized first, then straddled on crops affected by diseases and pests, illnesses and pests are detected by the difference between normal and abnormal, and pesticide spraying is also performed A control machine (for example, Patent Document 1), a device that is attracted by a pheromone agent or a light, takes a picture with a CCD camera or a video camera, and an image is viewed by an administrator (for example, Patent Document 2) The adhesive sheet, which is a single sticky sheet hanging on a branch of a crop (mandarin orange) and collected naturally, is manually collected manually and photographed with a digital camera attached to an XY plotter. A system that counts thrips (for example, Non-Patent Documents 1, 2, and 3), a pest attracted with a pheromone agent, and a discriminating and counting system by image processing (for example, Non-Patent Document 4) and the surface of the earth Part The breathing machine was installed, an apparatus for image processing counted in the rolled pressure-sensitive adhesive sheet that operates automatically by blowing insects captured on the spot computer (e.g., Patent Document 3), and the like. None of these conventional techniques has been popularized for various reasons.
JP-A-6-424 JP 2001-45945 Japanese Patent Application No. 2003-189487 Shizuoka Prefecture Numazu Industrial Technology Center Research Report No.2 “Study on Development of High-speed Unmanned Counting Device for Controlled Pests (1st Report)” Shizuoka Prefecture Numazu Industrial Technology Center Research Report No.3 “Study on Development of High-speed Unmanned Counting Device for Controlled Pests (2nd Report)” Shizuoka Prefecture Numazu Industrial Technology Center research report No.4 “Study on the development of a high-speed unmanned counting device for difficult-to-control micro insect pests (3rd report)” 2003 Hokkaido Technical Laboratory Technical Support Result Casebook

農作物に寄生する昆虫として約2000種以上、天敵の昆虫などを含めればその種数は約1万種以上もあるといわれており、その大きさや発生時期はまちまちである。これらの発生時期には自然条件が大きく関わっている。大きな昆虫は目視で判断できるが、小さな昆虫を目視で判断するためには専門知識を必要とする。例えば、茶樹の難防除害虫であるクワシロカイガラムシのふ化幼虫は体長0.2mmと小さく、顕微鏡を用いて目視で数えている。また、柑橘・茶樹の害虫であるチャノキイロアザミウマも体長0.8mmと小さく、顕微鏡を用いている。こうした微小昆虫にはよく似た種類が数多くあり、付着した昆虫の判断は専門家でないと困難である。そうしたことから、従来の技術の如く、ある特定の種類に絞っての自動計測が各種試みられてきた。   It is said that there are over 2,000 species of insects that infest crops, and that there are over 10,000 species, including natural enemy insects, etc., and their sizes and occurrence periods vary. Natural conditions are greatly involved in the timing of these occurrences. Large insects can be judged visually, but specialized knowledge is required to judge small insects visually. For example, the hatched larvae of the scallop scale insect, which is a difficult-to-control pest of tea trees, are as small as 0.2 mm in length and are counted visually using a microscope. In addition, citrus and tea tree pests, Chanoiro thrips, are as small as 0.8 mm in length and use a microscope. There are many similar types of such micro-insects, and it is difficult to judge attached insects unless you are an expert. For this reason, various attempts have been made to automatically measure a specific type as in the prior art.

農作物は地域の広範囲にわたり栽培されていて、地形、気温などの違いにより、数多くの観測地点を設ける必要がある。そのために、装置は小さく、軽く、安価で、取り扱いの簡便な装置が必要とされる。従来の技術の中で最も進んだものは特許文献3の装置であり、地表部に吸い込み式機械を設置して、ロール状粘着シートに昆虫を吹き付けて、その場で自動撮影し、取り込んだ画像をコンピューターにて画像処理計数をする装置であり、全てを無人で運転している。   Agricultural crops are cultivated over a wide area, and it is necessary to provide many observation points due to differences in topography and temperature. Therefore, the apparatus is small, light, inexpensive, and easy to handle. The most advanced technology in the past is the device of Patent Document 3, where a suction-type machine is installed on the ground surface, insects are sprayed onto a roll-shaped adhesive sheet, and images are taken automatically and captured on the spot. Is a device that performs image processing counting with a computer, and all are operated unattended.

しかし、特許文献3の装置はロール状粘着シートの巻き取り、撮影機器やコンピューターなどの一連の高価な装置を1ヶ所1台必要とされ、広範囲に数多く設置することは困難であり、簡便で安価な装置を発明することが課題であった。   However, the device of Patent Document 3 requires a series of expensive devices such as a roll-shaped adhesive sheet take-up, a photographing device and a computer, and it is difficult to install a large number of devices in a wide area. Inventing a simple device was a problem.

本発明の第1の手段は、農作物に寄生、飛来する昆虫の発生数を調べるために、発生部位付近に設置するファンと、ファンを駆動するモータと、モータの電源とする電池と、吸い込んだ空気を吹き付けるカートリッジ式粘着シートとより構成し、発生量を計数することを特徴とする微小昆虫捕獲装置。第2の手段は、第1の手段に昆虫が付着したカートリッジ式粘着シートを読み取るスキャナと、コンピュータと、画像処理ソフトウェアとを設けることを特徴とする微小昆虫捕獲装置。   In order to examine the number of insects that parasitize and fly on crops, the first means of the present invention sucks a fan installed near the generation site, a motor that drives the fan, a battery that serves as a power source for the motor, A micro-insect trapping device comprising a cartridge-type adhesive sheet that blows air and counting the amount of generation. The second means comprises a scanner for reading a cartridge type adhesive sheet with insects attached to the first means, a computer, and image processing software.

本発明の第3の手段は、農作物に寄生、飛来する昆虫の発生数を調べるために、発生部位付近にて電池を駆動源として空気を吸い込み、カートリッジ式粘着シートに吹き付け、昆虫が付着したカートリッジ式粘着シートを回収し、スキャナにて、デジタル画像としてコンピューターに取り込み、画像処理ソフトウェアにて判読し、発生量を計数することを特徴とする画像処理計数方法。   According to a third means of the present invention, in order to examine the number of insects parasitizing and flying on the crop, air is sucked by using a battery as a drive source in the vicinity of the generation site, sprayed onto the cartridge type adhesive sheet, and the cartridge to which the insects are attached. An image processing counting method comprising: collecting an adhesive sheet, taking it into a computer as a digital image with a scanner, interpreting it with image processing software, and counting the amount of generation.

本発明の装置は、小型、軽量、安価、簡単、便利な装置であり、数多く設置することができ、専門家でなくても早く正確に各種の昆虫の発生を掴むことができ、高効率な防除並びに農薬散布量の軽減に役立ち、また、各種微小昆虫への汎用が可能で、農業技術の向上に役立つものである。   The device of the present invention is a small, light, inexpensive, simple and convenient device, can be installed in large numbers, and can quickly and accurately grasp the generation of various insects without being an expert, and is highly efficient. It helps control and reduce the amount of agricultural chemicals applied, and it can be used for various types of micro insects and helps improve agricultural technology.

本発明は、茶樹、果樹、野菜等の農作物全般に寄生、飛来する昆虫類を対象としているが、ここでは、茶樹を具体的な農作物として述べる。図1は本発明の捕虫計数装置の設置例である。茶樹のクワシロカイガラムシを対象とした場合には、図1のように、茶樹1内の雌成虫11が多く見られる枝付近に設けるのが良い。   The present invention is directed to insects that parasitize and fly over all crops such as tea trees, fruit trees, and vegetables. Here, tea trees are described as specific crops. FIG. 1 shows an installation example of the insect trapping device of the present invention. In the case of a tea tree stag beetle, as shown in FIG. 1, it is preferably provided in the vicinity of a branch where many female adults 11 in the tea tree 1 are seen.

図2は本発明の装置の斜視図であり、1.5ボルトの単3乾電池21を4本用いて電源とした小型モータ20によるファン22を設け、吸い込んだ空気を整流板23、風洞24をへてカートリッジ式粘着シート25に吹き付ける。カートリッジ式粘着シート25の前面左右には空気の吹き抜けを良くするために吹き抜け窓26を設ける。カートリッジ式粘着シート25は抜き差し容易なスライド式とした。電源の乾電池21は他の電池、例えば、小型太陽電池にての充電式も考慮できる。   FIG. 2 is a perspective view of the apparatus of the present invention, in which a fan 22 is provided by a small motor 20 using four 1.5 volt AA batteries 21 as a power source. The cartridge type adhesive sheet 25 is sprayed. Blow-through windows 26 are provided on the left and right sides of the front surface of the cartridge type adhesive sheet 25 in order to improve air blow-through. The cartridge type adhesive sheet 25 is a slide type that can be easily inserted and removed. As the dry battery 21 of the power source, a rechargeable type using another battery, for example, a small solar battery can be considered.

図3は本発明の装置の斜視図であり、微小昆虫が付着したカートリッジ式粘着シート25を回収し、イメージスキャナ30やフィルムスキャナ31などのスキャナにてデジタル画像化をされて数値としてコンピューター32に記憶する。   FIG. 3 is a perspective view of the apparatus of the present invention. The cartridge-type adhesive sheet 25 with minute insects collected is collected and digitalized by a scanner such as an image scanner 30 or a film scanner 31 to be used as a numerical value in a computer 32. Remember.

数値としてコンピューター32に記憶したデジタル画像は、コンピューター32での画像解析用ソフトウェアにて、画像内の対象害虫の数を数える計数処理を行う。この画像解析には、あらかじめ設定された図4の各閾値、輝度、彩度、色相、面積、円形度の5つの閾値をもとに照合される。   The digital image stored in the computer 32 as a numerical value is subjected to a counting process for counting the number of target pests in the image by image analysis software in the computer 32. In this image analysis, collation is performed based on the preset five threshold values shown in FIG. 4 including luminance, saturation, hue, area, and circularity.

茶樹の難防除害虫であるクワシロカイガラムシの幼虫発生を観測した実施例をあげて説明する。図1の如く、クワシロカイガラムシの寄生した茶樹1付近に、本実施例の微小昆虫捕獲装置10を設置する。クワシロカイガラムシは年間3回のふ化を繰り返す。ふ化直後の幼虫は樹皮上を徘徊し、樹皮内にもぐりこんでしまう。樹皮上を徘徊しているときが農薬散布の適期である。高効率の防除にはこのふ化ピークを知ることが大切である。微小昆虫捕獲装置10は図2の如くであり、縦90mm、横70mm、深さ150mmで重量は乾電池21も含めて160gと小型、軽量であり、支持台12等により、任意の場所に設置することが出来る。付近の空気を吸い込むためのファン22(本実施例では、軸流ファンを用いる)は直径55mm、回転数2,600rpm、風量0.05?/分のものを用いる。電源は1.5ボルトの単3乾電池21を4本用いて直流6ボルトとし、吸い込み口から整流板23をへてカートリッジ式粘着シート25へ至る。風洞24は風速を早めるため、絞り形状とする。吹き付けるカートリッジ式粘着シート25は、縦50mm、横50mmの外枠内に縦20mm、横35mmの中抜き箇所に挟み込み、一般写真で用いられているスライド写真用マウントと同様とした。吹き付け面の両側の風洞24には気流の流れ出しのために吹き抜け窓26を設けた。電源容量としては、単3乾電池21を4本用いた場合、運転可能時間は10日弱であった。これを補うために、太陽電池での充電機能も可能である。尚、ファン22は、軸流ファンと形式の異なる遠心ブロア型ファンを同様に用いることも可能である。また、図9のように、図2とは形状の異なる円筒形の装置でも同様の性能が期待できる。   A description will be given of an example in which the occurrence of larvae of stag beetles, which are difficult-to-control pests of tea trees, was observed. As shown in FIG. 1, the micro insect capturing apparatus 10 of the present embodiment is installed in the vicinity of the tea tree 1 infested with the scale insect. The stag beetle repeats hatching three times a year. Immediately after hatching, the larvae crawl on the bark and go into the bark. The appropriate time for spraying pesticides is when the bark is dredged. It is important to know this hatching peak for high-efficiency control. The micro-insect capturing apparatus 10 is as shown in FIG. 2 and is 90 mm long, 70 mm wide, 150 mm deep, and has a small and light weight of 160 g including the dry battery 21. I can do it. The fan 22 for sucking in the nearby air (in this embodiment, an axial fan is used) having a diameter of 55 mm, a rotation speed of 2,600 rpm, and an air volume of 0.05? / Min is used. The power source is set to 6 volts DC using four AA batteries 21 of 1.5 volts, and reaches the cartridge type adhesive sheet 25 through the rectifying plate 23 from the suction port. The wind tunnel 24 has a throttle shape to increase the wind speed. The cartridge-type pressure-sensitive adhesive sheet 25 to be sprayed was sandwiched between hollow portions of 20 mm in length and 35 mm in width within an outer frame of 50 mm in length and 50 mm in width, and was the same as the slide photo mount used in general photographs. Blow-through windows 26 were provided in the wind tunnel 24 on both sides of the blowing surface for air flow. As the power capacity, when four AA batteries 21 were used, the operable time was less than 10 days. To compensate for this, a charging function with a solar cell is also possible. The fan 22 may be a centrifugal blower type fan having a different form from the axial flow fan. Further, as shown in FIG. 9, the same performance can be expected with a cylindrical apparatus having a shape different from that of FIG.

回収したカートリッジ式粘着シート25は、図3の如く、イメージスキャナ30やフィルムスキャナ31にてデジタル画像化されて、数値としてコンピューター32に記憶される。本実施例としては、イメージスキャナ30を用いた。数値としてコンピューター32に記憶されたデジタル画像は、画像解析用ソフトウェアにて、画像内の対象害虫の数を数える計数処理を行う。この画像解析には、あらかじめ設定された閾値、図4を用いる。   The collected cartridge type adhesive sheet 25 is converted into a digital image by an image scanner 30 or a film scanner 31 as shown in FIG. In this embodiment, an image scanner 30 is used. The digital image stored in the computer 32 as a numerical value is subjected to a counting process for counting the number of target pests in the image by image analysis software. This image analysis uses a preset threshold value, FIG.

次に、図4の閾値、輝度、彩度、色相、面積、円形度の5つについて述べる。実施したイメージスキャナ30での1画面の画素数は2,700,350画素である。1画素はRGB(赤、緑、青)の256階調から成り立ち、RGB値から下記の輝度=Y、色差信号1=C1、色差信号2=C2、彩度=S、色相=H、面積=A、円形度=Eを演算した。演算方式は下記の式によって求められたもので、現在では一般的な方法である。
Y=0.3R+0.59G+0.11B、
C1=R−Y=0.7R−0.59G−0.11B、
C2=B−Y=−0.3R−0.59G+0.89B、
S=SQRT(C1×C1+C2×C2)、
H=Tan−1(C1/C2)、
A=各画素が上記Y,S,Hの閾値以内で連続して幾つ存在するかの値、
E=真円を1.0としY,S,Hの閾値以内で境界部を追跡し求めた円周とAから計算した円形度。
閾値としては、1000倍してある。こうして演算算出された値は、図4に設定された閾値と比較をし、クワシロカイガラムシか否かの選別を行った。
Next, the five threshold values, luminance, saturation, hue, area, and circularity in FIG. 4 will be described. The number of pixels of one screen in the implemented image scanner 30 is 2,700,350 pixels. One pixel is composed of 256 gradations of RGB (red, green, blue). From the RGB value, the following luminance = Y, color difference signal 1 = C1, color difference signal 2 = C2, saturation = S, hue = H, area = A, circularity = E was calculated. The calculation method is obtained by the following formula and is a general method at present.
Y = 0.3R + 0.59G + 0.11B,
C1 = R−Y = 0.7R−0.59G−0.11B,
C2 = BY = −0.3R−0.59G + 0.89B,
S = SQRT (C1 × C1 + C2 × C2),
H = Tan-1 (C1 / C2),
A = value of how many pixels continuously exist within the threshold values of Y, S, and H,
E = circularity calculated from A and a circumference obtained by tracking the boundary within Y, S, and H thresholds with a perfect circle of 1.0.
The threshold is multiplied by 1000. The value calculated in this way was compared with the threshold value set in FIG. 4 to select whether or not it was a stag beetle.

上記実施例で得られた計測値は図5の如くである。Noはカートリッジ式粘着シート25のサンプル番号である。PCカウントはパソコンが算出した値である。目視カウントはカートリッジ式粘着シート25を実体顕微鏡下で拡大して人間がカウントしたものである。図6は図5をグラフ化したものである。高精度に計数していることが解る。   The measured values obtained in the above example are as shown in FIG. No is a sample number of the cartridge type adhesive sheet 25. The PC count is a value calculated by the personal computer. The visual count is obtained by enlarging the cartridge type adhesive sheet 25 under a stereomicroscope and counting by a human. FIG. 6 is a graph of FIG. It turns out that it counts with high precision.

次に、実施した画像処理方法について述べる。図7のA1の画像は図3のイメージスキャナ30を用いて、コンピューター32へ取り込んだ画像である。これは、1枚分のカートリッジ式粘着シート25の縦20mm横35mmの大きさを1枚の画像に撮影したもので、2,700,350画素である。A1のこの画像内に何匹のクワシロカイガラムシが付着しているかの計数処理をしている。A2はA1の部分を目視のために拡大したものであり、70は目的のクワシロカイガラムシの幼虫である。71はゴミである。   Next, the implemented image processing method will be described. The image A1 in FIG. 7 is an image captured by the computer 32 using the image scanner 30 in FIG. This is a picture of the size of 20 mm in length and 35 mm in width of one cartridge type adhesive sheet 25, which is 2,700,350 pixels. A counting process is performed to determine how many stag beetles adhere to this image of A1. A2 is an enlarged portion of A1 for visual observation, and 70 is the target larvae of the scale insect. 71 is garbage.

図8のB1は、A1内のクワシロカイガラムシ以外を図4の閾値によってすべて削除した画像である。B2は目視のために拡大したものであり、71のゴミが取り除かれていることがわかる。このようにして、最終的に1枚の画像内に何匹の対象昆虫があるかの計数をする。クワシロカイガラムシでの実施例を記載したが、今後、図4の閾値を変更することで、クワシロカイガラムシのみならず、害虫や益虫等各種昆虫の計数が可能である。   B1 in FIG. 8 is an image in which all but the stag beetle in A1 are deleted with the threshold values in FIG. B2 is enlarged for visual observation, and it can be seen that 71 dust has been removed. Thus, the number of target insects in one image is finally counted. Although the example with a stag beetle has been described, it is possible to count not only the stag beetle but also various insects such as pests and beneficial insects by changing the threshold value in FIG.

実施例の装置を茶園に設置した概要図。The schematic diagram which installed the apparatus of the Example in the tea garden. 実施例の装置の斜視図。The perspective view of the apparatus of an Example. 実施例の装置の概要図。The schematic diagram of the apparatus of an Example. 画像処理に用いた閾値を示した図。The figure which showed the threshold value used for the image process. 実施計測値を示した図。The figure which showed the implementation measurement value. 実施計測値をグラフ化した図。The figure which carried out the implementation measurement value in the graph. イメージスキャナにてパソコンに取り込まれた画像。An image captured by a computer using an image scanner. 画像処理途中の1画面を示した図。The figure which showed 1 screen in the middle of image processing. 実施例の装置の斜視図。The perspective view of the apparatus of an Example.

符号の説明Explanation of symbols

1 茶樹
10 微小昆虫捕獲装置
11 クワシロカイガラムシの雌成虫
12 支持台
20 小型モータ
21 乾電池
22 ファン
23 整流板
24 風洞
25 カートリッジ式粘着シート面
26 吹き抜け窓
30 イメージスキャナ
31 フィルムスキャナ
32 コンピューター
70 クワシロカイガラムシの幼虫
71 ゴミ
DESCRIPTION OF SYMBOLS 1 Tea tree 10 Small insect capture device 11 Female adult insect of 12 scale insect scale 12 Support stand 20 Small motor 21 Dry battery 22 Fan 23 Current plate 24 Wind tunnel 25 Cartridge type adhesive sheet surface 26 Blow-through window 30 Image scanner 31 Film scanner 32 Computer 70 Caterpillar 71 garbage

Claims (3)

農作物に寄生、飛来する昆虫の発生数を調べるために、発生部位付近に設置するファンと、ファンを駆動するモータと、モータの電源とする電池と、吸い込んだ空気を吹き付けるカートリッジ式粘着シートとより構成し、発生量を計数することを特徴とする微小昆虫捕獲装置。   In order to investigate the number of insects that parasitize and fly on crops, a fan installed near the generation site, a motor that drives the fan, a battery that powers the motor, and a cartridge-type adhesive sheet that blows inhaled air A micro-insect trapping device characterized by comprising and counting the amount of generation. 昆虫が付着したカートリッジ式粘着シートを読み取るスキャナと、コンピュータと、画像処理ソフトウェアとを設けることを特徴とする請求項1記載の微小昆虫捕獲装置。   The micro insect trapping device according to claim 1, further comprising a scanner for reading the cartridge type adhesive sheet to which insects are attached, a computer, and image processing software. 農作物に寄生、飛来する昆虫の発生数を調べるために、発生部位付近にて電池を駆動源として空気を吸い込み、カートリッジ式粘着シートに吹き付け、昆虫が付着したカートリッジ式粘着シートを回収し、スキャナにて、デジタル画像としてコンピューターに取り込み、画像処理ソフトウェアにて判読し、発生量を計数することを特徴とする画像処理計数方法。   In order to investigate the number of insects that parasitize and fly on crops, air is sucked into the vicinity of the site using a battery as a drive source, sprayed onto the cartridge-type adhesive sheet, and the cartridge-type adhesive sheet with the insects attached is collected and placed in the scanner. An image processing counting method characterized in that a digital image is taken into a computer, read by image processing software, and the amount of generation is counted.
JP2004053067A 2004-02-27 2004-02-27 Minute insect-catching apparatus and image processing counting method Pending JP2005237317A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110088309A1 (en) * 2009-10-05 2011-04-21 Emory University Office Of Technology Transfer Device for capturing insects
JP2012161269A (en) * 2011-02-04 2012-08-30 Univ Of Tokushima Insect image processing apparatus, image processing method, image processing program, and computer-readable storage medium
US20130340319A1 (en) * 2012-06-21 2013-12-26 King Abdul Aziz City For Science And Technology Method and apparatus for capturing and time-sorting insects
US20170273291A1 (en) * 2014-12-12 2017-09-28 E-Tnd Co., Ltd. Insect capturing device having imaging function for harmful insect information management
US10417780B2 (en) 2016-03-29 2019-09-17 Ecolab Usa Inc. Analyzing images of pests using a mobile device application

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110088309A1 (en) * 2009-10-05 2011-04-21 Emory University Office Of Technology Transfer Device for capturing insects
JP2012161269A (en) * 2011-02-04 2012-08-30 Univ Of Tokushima Insect image processing apparatus, image processing method, image processing program, and computer-readable storage medium
US20130340319A1 (en) * 2012-06-21 2013-12-26 King Abdul Aziz City For Science And Technology Method and apparatus for capturing and time-sorting insects
US8943742B2 (en) * 2012-06-21 2015-02-03 King Abdul Aziz City for Science and Technology (KACST) Method and apparatus for capturing and time-sorting insects
US20170273291A1 (en) * 2014-12-12 2017-09-28 E-Tnd Co., Ltd. Insect capturing device having imaging function for harmful insect information management
US10417780B2 (en) 2016-03-29 2019-09-17 Ecolab Usa Inc. Analyzing images of pests using a mobile device application
US10636163B2 (en) 2016-03-29 2020-04-28 Ecolab Usa Inc. Analyzing images of pests using a mobile device application

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