Summary |
"The Crowdsourcing UAV Platform for AI Agricultural Survey(AIAS) provides automatic mosaicing serviceis equipped with four breakthrough technologies, including (1)massive images gridㄒding, (2)parallel computing technology, (3)UAV task specification standardization,(4)UAV task matchmaking.
AIAS platform is committed to creating aerial UBER crowdsourcing services in various aspects, such as (1)crop distribution surveys, (2)large-scale lodging surveys, (3)agricultural insurance investigation, (4)surveys on illegal use of farmland,(5)surveys on the subsidy of fallow."
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Scientific Breakthrough |
The harsh environment reduces UAV image quality by an average of 25. Yang (2018) proposed a quantifiable quality evaluation index to check the UAV image quality to meet specifications. Yang (2018, 2020) proposed UAV images using AI technology to implement agricultural surveyshigh-efficiency large-scale disaster surveys. Compared with the existing manual agricultural surveylodging investigation procedures, the above technologies are integrated in the AIAS platform. The above technologies integrated in AIAS have been published in 6 international SCI journal papers with high citation.
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Industrial Applicability |
The agricultural survey is time-consuminglaborious. Agricultural insurance encounters difficulties in agricultural surveys. UAV surveys still have obstacles in practical applications. The AIAS is equipped with AIparallel computing technology to facilitate UAV image processing over a large area. AIAS platform is committed to creating aerial UBER crowdsourcing services in various aspects, such as (1)crop distribution surveys, (2)large-scale lodging surveys, (3)agricultural insurance investigation, (4)surveys on illegal use of farmland,(5)surveys on the subsidy of fallow.
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