第一工科大学研究報告第34号(2022)pp.31-34»)¤ª:;?E(Ó3n¬¥Ç²2oÀsÞÁ`/wÞÁ`Èe

ÜU{¨×{}kXJt1-10-2 ²I|®rx|xÏoÖw:;?E|x®
Á`£¡
E-Mail: r-shibusawa@daiichi-koudai.ac.jp

Preliminary Research on
Estrus Detection System in Beef Cattle - Report 2Ryota SHIBUSAWA, Yuko HANAKITA, Takashi Hanakita
Department of Informatics and Electronics ,1-10-2, KokubuChuo, Kirishima, Kagoshima, 899-4395, Japan

Abstract: Systems for detecting estrus in cattle by analyzing data from acceleration sensors attached to the bodiesof beef cattle have been studied. One problem common to the methods of these previous studies is that theprocess and basis of estimation by the system are difficult for humans to understand, i.e., they have low
explanatory power. Therefore, it is difficult to combine estimation based on human experience and knowledge
with estimation by systems, and we tend to rely only on the latter. However, system-based estimation may contain
unexpected errors in specific cases. Based on these issues, the goal of this research is to automatically detect
estrus, falls, etc. by the system, and to present the basis for such judgments in a format that allows humanjudgment, such as video images. As a first step, we installed network cameras and verified whether the system candetect estrus by human observation of the images.
Key words: Data-driven agriculture, Beef cattle breeding, Network camera, Human-AI collaboration ÜU{¨*ÞkW%-)£¡¦
6'lm%3ßJ%-Ýh)CFGB*ÞÑ)A>D7F;(FG7P4$3ßI%j(­&2Þ)»¢)£¡($ÞÙÚØ)p_(+Þµ30Ò%ÙÚ *µ5X)1('"$2[1]Þ^)\_^('"$3ß») ¡*K(Þ(1)5Ù½ÞO|´$w5 ,$½$3º&Þ(2)º4!w5ÊVÞ1(r½$3¼½)
N#)|¯1'3ß(1))º)|¯%*Þ£+1B:JK35H54?[1]¡Ëz¿1Õ)¤5ªÞ§(O|´~3*a~(Î·$y,"!°)´w5 )(O|´3ß»)bg*µ%3ßb)Y(*Þ02]q'3ÞLÛ3ÞLÛ43&"!¤Â]Å143ß41)Â]*µ Ò¸¹Þ 41¶M!Þ Ò(b43ß i%)´w)c´¾ZSÒ* ÒÞbw)c´¾SÒ*µ  Ò%2ÞbY)Ô14!ÒW(O|´3&Ä('3[2]ß!"$Õ)¤5ÅÌ$,&Þw ,43,%))Ù(3É¢ÞO|´.
uvÐy(3É¢³)8;ARÆ("$,&('3ß %)Q(Ã©![Í<G9)@H=)X(0"$)¤5ª3:;?E³«±4$3[3-12]ß41TÂ«±)o(<Ë3ÀÚ(Þ:;?E(03ty)D!<;. rOÒ(*X21Þ'¿~H¾l/&3ß )! ÞOÒ)¨Ý.ªÁ(03ty&:;?E(03ty5§ J3&ÕÞ®) (Ù2('"$,ß:;?E(03第一工科大学研究報告 第34号

ty*Þ'3%*(FH5L6%
3&-3ß«±%*41)ÀÚ5Å,Þ:;?E(03¤.Æ7³)ª5¿]¥(Â&([Þ ))C{ r5]:³)OÒ(03C{-Â3hf%u­3&5&$3ß )²IÓ&$Þ,>A"H7F5¹­Þ 41):5O³3&%¤)ª5Â3»5Â"!ß%D>@6>@#ATÂ«±&«±).­5j2(­ß£®*4,%(Þ»¢)¤)¿]½Á)o&$-q24$3nl<G9[ÍÞ¶Í<G95(¸¹¥(Ã©Þ¤ª5¼ 3«±5Â"![3]ßK<G9(02¤ª%3&* 14!ÞÃ©T<G95IØ#(Ã©y¥(>?
5;Ö3&*£K(&"$Þ¦+2%D>@6>@#A

+3

（2022）5l/"!ß,!Þ¤$'(Þ¤&K³,#(<G9(r'8Å14¤5¾½Á3&"!ß4*È([S!¤!)Â]¤&'2Þgs¸!&FP%3H¾lÞ"!ß
>?%Ä'RFID=5¢3«±[8]-'4$3Þ)0'KV)s¸-½ÁÞ£K(X2.u­3&*%$'ßQy[12].Wº*_%X
2.%3ÞzÙ4]O3)Q5Ös¸%y3)*QÕ%2Þ
%*Ã©T<G9¢14$3ß«±%*41)«±5Å,ÞÖs¸%>?
)v5%Ä(Þ#£K(·.r5u­3&5&3ß /&«±%*Þ^4%¹­`'ATOM Cam
2[13]6I5ÞÔ-Á`£¡)°W(¹­!ß $Þ£®1)TÂ«±[3]($¥!Þ°W)Wi-Fi H=(ATOM Cam25s¹!ß6IJ2I)F5Þ¤Â]Å143H¾l33°(¹­!ß2) I)F*ÞXZ5Â(y33°(¹­!ßATOM Cam2%*Þj3(­&2 =E%²)F)1080p)·:):5Ð
´%3ß,!ÞXÒ*ÂWªFHB%xi%ÞgR)(k$Ëd)xiH:C$=渋沢・花北（ゆ）・花北（貴）：肉牛の発情検知システムに関する基礎的調査䠉第2報

B&ÂWªxiHB5¿]¥(A23&-H¾%3ßj1)c$):ËdxiHBÞ 4,W):ÂWªxiHB):%3ß,!ÞH:GªÞ9GBª¾(0"$ÞxiJ):(Iy,#)]"!ÞIy,#)ØÎ)Ø¤ !(Þ)Ò5L 12 Ò)]57FB9H#(S[3&H¾%3ß41)¾¼!ÞATOM Cam2*I±¥'Ñ¢)
F%2ÞH:GªÞ9GBª-I±¥'Ñ¢Ê(J$114$3! Þ)¤Â]) 5q@$S[3&*ÕÞ¤&*Ó6)]15rÎ(q@$!ß :C<E(72021111S,%Þ°W(6I)
F5¹­Þ¡Ò(F) =E
:5½3&5¸¹!ß¤Â]*X
Ò(Å143&qÞbV*=\%2ÞXÒ()w5½3! (°(@3&*Õ"!ß )! ÞG=H>A(s¹4!¿]1Þ;HAG%>A"H7F):5½%3&*Öd(¢lÞ"!ß
202111120223,%)Ò(ÞÆ10O,#Þ°W%)§s)µ%*'ÞF
:(0"$¤)½5Â!ßF(0"$½%!LÛ)35j4(­ß)0'¤Â]*ÞÒ)Ò(0-¬2É
43&-3Þ1(1 14'

+4F.

;2D)!L8-&-3ß!"$Þ2021111µ
4!O,#)¤*Þ ) &6>A"H7F5bV'4'"!
-)%3ß4(02>A"H7F(0"$Þ¤Â]5EX(½H¾%3& 14!ß»*M°yÀ(0"$Qr'"$
3&-2ÞXZ(*q)UJ*D
Ä&'3ßXZY,"$1ÇÍ(·Ò'&w6%,&-qß,!Þ¿(XZ%!%-Þw)9em502
À3! Þ>?S¤!B'5·?Þ}(Û,$3ß)0'^(¢3! ÞXZ(yÈ)w5XÒ>A"H7F%½$!ß $Þ¯Ï5G«$3w.Þw)Ä@$$3w5F:%¤ÅÞXZ)Ï
Y5pw3&-O%$!ß,!Þ
>A"H7F):*G=H>AÃ
(Ì1%-½%3! Þ°)ÌW@$3Ô(;HAG(0"$XZY,"!&5ª2Þ°)È(3£K( )|5Î·$ÞXZ*D5}(Â!H;-Å14!ß,!Þj5)0(XZ)&w)w5½Þw(EX(N'%$'&5pw$ 75&3U×-"!ß1(Þ¡(Þ,!*w
''¢$'w5pwÞa~(`m5½$-1³-%$!ß+59:0',1-:*第一工科大学研究報告 第34号

"1GI«±%*Þ>A"H7F(03:5Oµa3&(02Þ¤)ªÞXZÏY)pw³5L Þ)9em)pw(Ó3ÍÄ'^(j¢#&5½%!ß£¡)^%*Þ°W%)©Ü)+(Þ)Ü&'37)2-.2< Þ!H _'q&%2ÞF:5 E%
½%'&-qß )! Þ)9em)pw(j¢#ÍÄ'U×)]5¿]¥(q@3:;?E)«±Ï¤5ÂßQ¥(*ÞF.7!G(0"$;=4!:ÞØ 5 =E%·
$ÞQÁÞ)!½Á5Âß $Þ )o(nÞ¤ÞÆ7ÞXZÏY
5¿]½ÁÞ )Ô)]:ÞØ 5q@$;=Þ£K(Ëª3&&-(Þ1£KÅÉ$£K)C{530(3ß
6*1
[1] Ë+/¡3 h2£¡4ÆÇ, 2022
．
[2] Ë«£¡7l«±(ÞO|´)8®
)! )O|´  O¥ÄP)Å§(!½?Þ£¡7l«±()8
HA15d，20141．
[3] ÀsÞ»)¤ª:;?E(Ó3n¬¥Ç²I|rx«±of, Vol. 33,
pp. 29-32, 20213．
[4] >9JFÞV1Þ/8;A%lÞ¤¤ÅÃ­.Lite)Ï¤"$¨£¡¼ÝU¼Ý«±of25d, pp.23-26, 20137．
[5] >9#'Ùf°(35¢!Þ´¤ª)8):£¡)o, pp.52-61, 20191．
[6] ,f- HE HA, Farmnote Color,
https://farmnote.jp/color/, (0 2021-6-15).
[7] ,f- HE HA, Farmnote Cloud,https://farmnote.jp/features/, (0 2021-6-15).
[8] @9;,f-，U-motion, https://www.desamis.co.jp/product/, (0 2021-6-15).
[9] ,f-#VË%:;?E ，.SaaS,
https://www.fujitsu.com/jp/group/kyushu/solutions/industry/agriculture/gyuho/index.html, (参照 2021-615).
[10] h>A9H ;,f-, !,https://www.rumilog.com/, (参照 2021-6-15).
[11] ,f-8GH=5J«±(, MOHCAL, https://www.tokyo-cal.co.jp/product/product.html, (参照 2021-6-15).

（2022）[12] ,f-HAÞ ', http://www.gyuonkei.jp/, (参照 2021-6-15).
[13] AE?>7,f-，Atom Cam2, https://www.atomtech.co.jp/, (参照 2022-6-15).