Abstract : Agriculture prescription can be targeted to solve problems in
agricultural production for farmers, but in reality, agricultural
technology personnel (ATP) or agricultural technology experts (ATE) are
also short handed. So it is difficult to ensure that all farmers’
issue is resolved and the existing agricultural technology websites just
tidy up some common prescriptions, mostly without involving the
personalized service. So this paper designed an online agriculture
prescription recommendation system which realize three functions
including the automatic question answering, recommendation for ATP or
ATE and recommendation for similar users based on the construction of
user interest model, the problem model and prescription model. Through
this system the questions put forward by farmers can be solved timely
and agricultural prescriptions can be better promoted and shared, which
manifests that the system has great practical value.
Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.327-336, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_39〉
https://hal.inria.fr/hal-01220935
Contributeur : Hal Ifip
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Soumis le : mardi 27 octobre 2015 - 10:14:02
Dernière modification le : mercredi 17 janvier 2018 - 10:43:34
Document(s) archivé(s) le : jeudi 28 janvier 2016 - 10:36:40
Qingtian Zeng, Zhichao Liang, Weijian Ni, Hua Duan. OAPRS: An Online Agriculture Prescription Recommendation System. Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.327-336, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_39〉. 〈hal-01220935〉
