48 citations · 113 across the 7 of their papers we have counts for
7 papers
The using of bibliometric analysis to classify trends and future directions on ''Smart Farm''
Paweena Suebsombut, Aicha Sekhari, Pradorn Sureepong +2
Climate change has affected the cultivation in all countries with extreme drought, flooding, higher temperature, and changes in the season thus leaving behind the uncontrolled prod…
Training Evaluation in a Smart Farm using Kirkpatrick Model: A Case Study of Chiang Mai
Suepphong Chernbumroong, Pradorn Sureephong, Paweena Suebsombut +1
Farmers can now use IoT to improve farm efficiency and productivity by using sensors for farm monitoring to enhance decision-making in areas such as fertilization, irrigation, clim…
Chatbot Application to Support Smart Agriculture in Thailand
Paweena Suebsombut, Pradorn Sureephong, Aicha Sekhari +2
A chatbot is a software developed to help reply to text or voice conversations automatically and quickly in real time. In the agriculture sector, the existing smart agriculture sys…
Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features
Haiqing Zhang, Aicha Sekhari, Yacine Ouzrout +1
Opinion mining mainly involves three elements: feature and feature-of relations, opinion expressions and the related opinion attributes (e.g. Polarity), and feature-opinion relatio…
Towards Realizing the Smart Product Traceability System
Dharmendra Kumar Mishra, Aicha Sekhari, Sébastien Henry +4
The rapid technological enhancement and innovations in current days have changed people's thought. The use of Information Technology tools in people's daily life has changed their…
Traceability as an integral part of supply chain logistics management: an analytical review
Dharmendra Kumar Mishra, Sébastien Henry, Aicha Sekhari +1
Purpose: Supply chain has become very complex today. There are multiple stakeholders at various points. All these stakeholders need to collaborate with each other in multiple direc…