http://storage5.static.itmages.ru/i/17/0315/h_1489559889_9371952_097f4bc3be.jpg [foto](http://lowrance.by/index.php/novosti/289-eholot-lowrance-dsi) Fishing Fishfinders-chartplotters recent generations ( Gen2 and Gen3 Lowrens, Raymarine, Humminbird , Garmin top) made fishing a little (or big?) revolution. In addition, they have learned to display a picture of photographic clarity and to show everything that is going on right and left of the boats at a distance up to 50-100 meters (depending on depth), they have learned to build maps of the depths! http://storage6.static.itmages.ru/i/17/0315/h_1489559684_1338395_5af2fee2b5.jpg [foto](http://campes.ru/market/eholoty_lowrance/lowrance_series_elite_ti/lowrance_elite_7_ti/) As it is now doing advanced anglers having in their Arsenal such a device? Include the corresponding function log record of movement of the boat and begin to walk on the selected drawing area tacks meters 50-100. The logs are written to the memory card. After the passage of the tacks make 3-4-5 passes control along the section of the drawing. After that, the file log is processed by computer programs ( Lowrens this RifMaster). The processing of the logs is obtained a detailed map of the deep drawn plot, which casts back on the memory card, and now it is possible to use the device while fishing. It gives the angler? A lot in terms of understanding of the bottom topography, differences of depths, the presence of mounds and ditches. And these are all places hunting predators. I had such a case. I have a point on the Volga river, where I walk in the store. Came threw the bait on a known trajectory, the transaction, the bite, the fish in the boat... I found this point by using ordinary vertical sounder old generation. Saw him drop deep, put the boat to sh, and then caught a walleye. And the year before, when the modern Lowrens Gen2 came to our team, we drew a map of the area. And it turned out that the place where I have always caught fish, it's not just a difference of depths, and a long ditch that connects the channel with feed irrigation. And ditch the fishway large predator can secretly come to the place of hunting. Without building the map, we hardly got the place in such detail. Of course, logging is a very costly exercise. It takes a lot of time, and the gas burnt me hundreds of liters... Recently, the company Humminbird implemented in your device of the latest generation Humminbird Onix the online maps. It is built into the device software AutoChart LIVE. It is ,of course, greatly saves the processing time of the logs in the computer, allowing you to build a depth map right on the water, but walking tacks for hours and emptying the gas tank it does not change... And just yesterday I see the message from the fishing team, Navionics Pro Team ( probably the most technically equipped and advanced in building a maps team ProAnglersLeague) about their incredible new development. They are involved in chartostring satellite images ( or photos with drones that much better), neural networks and AI !!!!! Here's what they wrote : "In the offseason, the team Navionics Pro Team is not sitting idle - has developed a unique program for the construction of depth maps according to remote sensing data (satellite imagery or aerial photography). The program is based on the principles of machine learning using neural networks. She enrolled in a photo and sample measured depths, and then the photos taken in the same conditions restores the depth at all points." "The result of the program is to map the depths of the water area near Syzran. The accuracy of the estimate of the depth - 10% from the true values at depths of up to 1.5 deep transparency. The spatial resolution is determined by the resolution of the photo. In this example, taken satellite photos from Yandex. If the photo is to do it yourself using drones, the spatial resolution can reach 1 cm and above!" http://storage5.static.itmages.ru/i/17/0315/h_1489560183_1310308_d3b2d2d0e3.jpg "The original satellite photograph of the waters" http://storage7.static.itmages.ru/i/17/0315/h_1489560237_3061380_0bc532a127.jpg "Measurements of the depths (white color), used for algorithm learning" http://storage1.static.itmages.ru/i/17/0315/h_1489560297_4353572_670f27305d.jpg In my opinion it will be a revolution in the fishing chartostring! Now you do not need to spend hours walking tacks on the waters, occasionally falling asleep from the monotone process of hitting and falling in sleep with his head on the steering wheel of the boat )). And fill the tank for the tank of hundreds of liters of gasoline, to draw the long edge, long holes or huge stretches... flying a drone with a camera, doing it with a desired amount of photos, make a few passes to record a training log and it's in the bag!!! Another hour at the computer, and you have a detailed map of the depths of many kilometers of water area! I think when guys would bring this service to a level acceptable for commercial sales of the AT – will earn millions. Because such a product will be popular with anglers all over the world!
post_id | 2,169,008 |
---|---|
author | spinner |
permlink | neural-networks-and-artificial-intelligence-ai-for-successful-fishing-breakthrough |
category | life |
json_metadata | "{"app": "steemit/0.1", "format": "markdown", "links": ["http://lowrance.by/index.php/novosti/289-eholot-lowrance-dsi", "http://campes.ru/market/eholoty_lowrance/lowrance_series_elite_ti/lowrance_elite_7_ti/"], "image": ["http://storage5.static.itmages.ru/i/17/0315/h_1489559889_9371952_097f4bc3be.jpg"], "tags": ["fishing", "life", "news", "neuralnetworks", "education"]}" |
created | 2017-03-17 14:11:57 |
last_update | 2017-03-17 14:52:27 |
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root_title | "Neural networks and Artificial Intelligence (AI) for successful fishing! (Breakthrough!)" |
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voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
berniesanders | 0 | 7,381,619,290 | 3% | ||
penambang | 0 | 8,430,890,768 | 30% | ||
berkah | 0 | 128,096,719,119 | 100% | ||
kushed | 0 | 421,833,705,918 | 10% | ||
ihashfury | 0 | 13,655,984,107 | 20.7% | ||
rossco99 | 0 | 239,960,575,688 | 30% | ||
jaewoocho | 0 | 655,431,606,993 | 10% | ||
xeroc | 0 | 646,716,180,980 | 30% | ||
steem-id | 0 | 71,263,658,261 | 30% | ||
clayop | 0 | 33,825,041,368 | 10% | ||
lovejoy | 0 | 59,793,283,198 | 30% | ||
pairmike | 0 | 18,715,034,637 | 30% | ||
pheonike | 0 | 11,136,298,233 | 6% | ||
donkeypong | 0 | 2,320,559,659,447 | 75% | ||
hcf27 | 0 | 93,206,087 | 100% | ||
konelectric | 0 | 510,533,951 | 1% | ||
escrow | 0 | 680,663,626 | 75% | ||
brindleswan | 0 | 701,368,549 | 2.29% | ||
acidsun | 0 | 14,973,104,840 | 50% | ||
gavvet | 0 | 1,116,069,911,054 | 100% | ||
novina | 0 | 302,045,484,349 | 100% | ||
fact | 0 | 10,386,813,878 | 100% | ||
steve-walschot | 0 | 79,654,243,193 | 100% | ||
blakemiles84 | 0 | 57,442,128,861 | 30% | ||
theshell | 0 | 19,923,214,361 | 30% | ||
ratel | 0 | 7,426,340,052 | 30% | ||
pseudonymous | 0 | 158,588,740 | 100% | ||
schro | 0 | 16,194,525,188 | 30% | ||
michaelx | 0 | 13,043,157,835 | 30% | ||
anwenbaumeister | 0 | 947,763,985,278 | 100% | ||
albertogm | 0 | 8,586,911,548 | 30% | ||
tyler-fletcher | 0 | 5,974,607,933 | 100% | ||
fyrstikken | 0 | 52,670,100,966 | 1% | ||
clement | 0 | 125,779,519 | 100% | ||
isteemit | 0 | 58,759,606,633 | 100% | ||
skapaneas | 0 | 29,952,991,673 | 100% | ||
good-karma | 0 | 89,353,707,002 | 23% | ||
roelandp | 0 | 389,339,487,913 | 30% | ||
nerdlab | 0 | 1,324,374,141 | 100% | ||
lehard | 0 | 356,729,814 | 100% | ||
on0tole | 0 | 21,235,088,667 | 100% | ||
anasya | 0 | 25,195,377,118 | 100% | ||
vl248 | 0 | 13,171,954,785 | 100% | ||
sveokla | 0 | 9,289,232,175 | 100% | ||
marinabogumil | 0 | 15,511,385,325 | 100% | ||
bitland | 0 | 1,610,451,776 | 22% | ||
anmuravjev | 0 | 86,844,155 | 100% | ||
juvyjabian | 0 | 782,709,590 | 1% | ||
raymondspeaks | 0 | 4,658,651,982 | 30% | ||
kell234 | 0 | 3,767,854,143 | 100% | ||
hyiparena | 0 | 8,599,186,435 | 100% | ||
rouketas | 0 | 58,837,720 | 100% | ||
cryptojoy.com | 0 | 446,767,138 | 100% | ||
konti | 0 | 10,272,916,400 | 100% | ||
phenom | 0 | 9,002,136,572 | 30% | ||
ubg | 0 | 589,115,640 | 3% | ||
bitcoiner | 0 | 17,596,502,943 | 30% | ||
sharker | 0 | 18,642,986,193 | 100% | ||
zaebars | 0 | 104,663,734,469 | 100% | ||
mondeja | 0 | 7,160,327,376 | 100% | ||
mysteem | 0 | 634,751,941 | 23% | ||
crypto.owl | 0 | 11,030,273,438 | 100% | ||
nelu.ceban | 0 | 2,972,898,415 | 100% | ||
smailer | 0 | 96,625,929,381 | 100% | ||
dmilash | 0 | 29,435,777,741 | 100% | ||
spinner | 0 | 3,511,430,768 | 100% | ||
uwe69 | 0 | 1,155,071,587 | 100% | ||
dirty.hera | 0 | 111,583,194 | 100% | ||
gomeravibz | 0 | 7,123,593,027 | 18% | ||
litrbooh | 0 | 4,680,550,379 | 100% | ||
nekromarinist | 0 | 22,630,791,663 | 100% | ||
always1success | 0 | 8,841,259,302 | 100% | ||
toxichan | 0 | 7,470,713,284 | 100% | ||
brendio | 0 | 35,572,902,496 | 24% | ||
asdes | 0 | 161,247,289 | 100% | ||
mama-steem | 0 | 2,946,267,732 | 100% | ||
uuuhha | 0 | 24,318,896,659 | 100% | ||
romancs | 0 | 5,642,262,729 | 100% | ||
ipumba | 0 | 3,849,139,006 | 100% | ||
riosparada | 0 | 52,560,834,795 | 100% | ||
steemradio | 0 | 664,169,732 | 100% | ||
randyclemens | 0 | 13,809,886,347 | 100% | ||
krishtopa | 0 | 84,593,051,510 | 100% | ||
villainblack | 0 | 8,239,836,443 | 100% | ||
cmorton | 0 | 1,517,049,817 | 12% | ||
cryptos | 0 | 43,007,715,401 | 40% | ||
numberone | 0 | 4,728,656,720 | 100% | ||
herbertmueller | 0 | 2,361,345,590 | 100% | ||
demo | 0 | 93,128,921 | 23% | ||
nang1 | 0 | 626,885,404 | 100% | ||
jsantana | 0 | 12,583,726,283 | 30% | ||
ethansteem | 0 | 102,119,438,502 | 80% | ||
imag1ne | 0 | 1,439,295,385 | 100% | ||
leno4ek | 0 | 2,473,949,211 | 100% | ||
nulliusinverba | 0 | 3,454,687,892 | 30% | ||
barrydutton | 0 | 1,715,891,555 | 1% | ||
randomli | 0 | 2,328,197,109 | 100% | ||
nadin3 | 0 | 11,367,788,713 | 100% | ||
xanoxt | 0 | 39,331,927,350 | 100% | ||
victoriart | 0 | 18,480,360,331 | 100% | ||
maryfromsochi | 0 | 1,401,091,173 | 100% | ||
tatianka | 0 | 4,115,927,143 | 100% | ||
thecyclist | 0 | 226,564,252,225 | 3% | ||
zettar | 0 | 1,776,491,382 | 100% | ||
elena-singer | 0 | 11,927,726,158 | 100% | ||
finleyexp | 0 | 173,448,555 | 23% | ||
patelincho | 0 | 231,216,890 | 1% | ||
tracemayer | 0 | 17,938,780,757 | 30% | ||
feruz | 0 | 92,164,345 | 23% | ||
burnin | 0 | 15,134,900,913 | 100% | ||
anton333 | 0 | 10,880,112,862 | 100% | ||
steemsquad | 0 | 2,656,527,470 | 100% | ||
ekaterinka | 0 | 3,785,844,128 | 100% | ||
develcuy | 0 | 6,453,233,413 | 100% | ||
borishaifa | 0 | 14,532,676,561 | 100% | ||
mapalatv | 0 | 1,044,142,248 | 100% | ||
crimson | 0 | 88,268,885 | 10% | ||
sjennon | 0 | 23,159,379,136 | 100% | ||
curie | 0 | 525,009,548,157 | 100% | ||
htyfn | 0 | 4,011,239,330 | 100% | ||
rusteemitblog | 0 | 14,321,644,186 | 100% | ||
ninkhisibir | 0 | 4,195,363,073 | 100% | ||
orenshani7 | 0 | 6,416,262,398 | 100% | ||
therajmahal | 0 | 3,190,650,675 | 100% | ||
viktorcapulet | 0 | 173,188,491 | 100% | ||
hendrikdegrote | 0 | 1,326,083,396,781 | 10% | ||
rgeddes | 0 | 2,738,627,061 | 70% | ||
marel | 0 | 2,563,694,213 | 100% | ||
paulocouto | 0 | 1,007,488,052 | 100% | ||
steemlift | 0 | 5,490,849,091 | 100% | ||
galveston | 0 | 2,024,485,849 | 100% | ||
oshima | 0 | 70,919,211 | 10% | ||
stray | 0 | 452,143,574 | 1% | ||
sherry-dow | 0 | 142,806,210 | 100% | ||
ianboil | 0 | 4,397,738,919 | 100% | ||
max-max | 0 | 6,002,370,505 | 100% | ||
sstefan | 0 | 9,734,010,591 | 50% | ||
garvofe | 0 | 15,117,568,046 | 100% | ||
sqube | 0 | 2,978,574,044 | 1% | ||
maxse | 0 | 3,647,466,318 | 100% | ||
whatageek | 0 | 901,189,475 | 1% | ||
steemer0815 | 0 | 857,445,192 | 100% | ||
esteemapp | 0 | 95,693,803 | 23% | ||
chiliec | 0 | 18,375,763,023 | 100% | ||
blackchen | 0 | 32,606,953,169 | 100% | ||
reisman | 0 | 486,966,499 | 23% | ||
engagement | 0 | 422,599,809,657 | 3% | ||
sellergenius | 0 | 2,206,984,031 | 100% | ||
beeskee | 0 | 10,107,283,282 | 100% | ||
gildar | 0 | 3,589,029,360 | 100% | ||
soushi888 | 0 | 7,062,955,488 | 100% | ||
killuminatic | 0 | 516,816,661 | 100% | ||
kyra-kristian | 0 | 99,724,066 | 100% | ||
tamersameeh | 0 | 575,119,972 | 100% | ||
stmdxrafi | 0 | 131,653,693 | 100% | ||
steemnews24 | 0 | 98,713,109 | 100% | ||
detlef-s | 0 | 833,039,045 | 100% | ||
roma-nt | 0 | 182,369,677 | 23% | ||
alohaoy | 0 | 2,108,067,300 | 100% | ||
cheah | 0 | 12,894,385,821 | 100% | ||
kostaslou | 0 | 1,930,833,536 | 100% | ||
zkalemiss | 0 | 2,243,393,189 | 100% | ||
riskdebonair | 0 | 958,630,461 | 1% | ||
fbechstein | 0 | 5,401,534,975 | 100% | ||
bounties | 0 | 177,279,863 | 23% | ||
steempoll | 0 | 133,793,908 | 23% | ||
blockained | 0 | 294,330,194 | 100% | ||
blockchained | 0 | 10,860,962,794 | 100% | ||
marco.world | 0 | 294,320,296 | 100% | ||
ogochukwu | 0 | 1,384,749,724 | 23% | ||
toyblackhat | 0 | 338,158,533 | 30% | ||
tonylondon | 0 | 901,640,158 | 100% | ||
vrezh | 0 | 186,974,584 | 100% | ||
climatechange | 0 | 164,042,482 | 100% | ||
dunia | 0 | 700,018,395,525 | 100% | ||
paolobeneforti | 0 | 18,584,719,665 | 100% | ||
michaelnonso | 0 | 123,132,656 | 100% | ||
benjiparler | 0 | 376,636,635 | 100% | ||
steemstock | 0 | 363,533,004 | 100% | ||
mestyz | 0 | 91,167,183 | 100% | ||
emeka | 0 | 128,606,674 | 100% | ||
ambyr00 | 0 | 6,037,498,463 | 100% | ||
blckchnd | 0 | 293,784,208 | 100% | ||
kamidela | 0 | 51,026,950 | 100% | ||
evildeathcore | 0 | 963,054,381 | 100% | ||
marjuki95 | 0 | 75,316,399 | 100% | ||
inity | 0 | 3,000,595,057 | 100% | ||
lovecoins | 0 | 87,476,226 | 30% | ||
scottrogers63 | 0 | 0 | 100% |
post_id | 2,169,385 |
---|---|
author | inity |
permlink | re-spinner-neural-networks-and-artificial-intelligence-ai-for-successful-fishing-breakthrough-20170317t150508462z |
category | life |
json_metadata | "{"app": "steemit/0.1", "tags": ["life"]}" |
created | 2017-03-17 15:05:09 |
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Check out my post. https://steemit.com/steemit/@kayyam09/fishing-in-mauritius-and-my-best-catches We avoid everything that is technology related.. The sea is sacred. We take whatever it gives us..
post_id | 21,865,635 |
---|---|
author | kayyam09 |
permlink | re-spinner-neural-networks-and-artificial-intelligence-ai-for-successful-fishing-breakthrough-20171225t073851704z |
category | life |
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created | 2017-12-25 07:38:54 |
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I do hope that this catches-on with the big marine electronics companies, so they can incorporate charting capabilities on cheaper units. For the commercial fishermen, this technology will be welcomed with open arms! Nice article!
post_id | 27,636,429 |
---|---|
author | scottrogers63 |
permlink | re-spinner-neural-networks-and-artificial-intelligence-ai-for-successful-fishing-breakthrough-20180124t014756070z |
category | life |
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