An approach based on deep learning that recommends fertilizers and pesticides for agriculture recommendation
نویسندگان
چکیده
<span>With the advancement of internet, individuals are becoming more reliant on online applications to meet most their needs. In meantime, they have very little spare time devote selection and decision-making process. As a result, need for recommender systems help tackle this problem is expanding. Recommender successfully provide consumers with individualized recommendations variety goods, simplifying duties. The goal research create system farmers based tree data structures. has become interesting by saving in process users. We conducted although lot various fields, there insufficient agriculture sector. This issue necessary Quangnam-Danang or all Vietnam countries severe climate features. Storm from that, designs proposed model combines you only look once (YOLO) algorithm convolutional neural network (CNN) similarity computing similarity. By experiments 400 samples evaluating precision, accuracy, value predictive test as determined its positive (PPV), proves that feasible gain better results compared other state-of-the-art models.</span>
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ژورنال
عنوان ژورنال: International Journal of Power Electronics and Drive Systems
سال: 2022
ISSN: ['2722-2578', '2722-256X']
DOI: https://doi.org/10.11591/ijece.v12i5.pp5580-5588