ICBAA 2017 Discusses On ‘Big Data’ Application To Improve Crop Management | Universiti Putra Malaysia
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ICBAA 2017 discusses on ‘Big Data’ application to improve crop management

By: Khoirun Nisa

SERDANG, 5 Dec -  Universiti Putra Malaysia (UPM) in collaboration with Wageningen University of Netherlands had organised the 2017 International Conference on Big Data Applications in Agriculture (ICBAA) that aimed to give exposure to the participants about knowledge-guided crop management that offers solutions to inherent problems in crop production.

ICBAA 2017 discussed acquisition, management and analytical data technique using various data software together with modelling and bioinformatics tools.

The two-day conference with the theme ‘From Nursery to Field’ focused on ‘Big Data’ application for crop improvement and management.

Science, Technology and Innovation Minister, Datuk Seri Panglima Wilfred Madius Tangau who officiated the event said that the theme for the conference itself already featured the need for revolutionised digital exploration starting from seedling in the nursery to crop supervision and management in the field.

He said the various types of information including the complex ones generated by ‘Big Data’ are beneficial for farmers, suppliers, plantation owners, products manufacturers, marketing persons and others that are involve in the production chain.

During the event, he also launched a book entitled ‘Penambahbaikan Tanaman: Kemapanan melalui Teknologi Terkini’ (Crop improvement: Sustainability through Recent Technologies) which was published by an international publisher, Springer.

Also present was Deputy Vice Chancellor (Research and Innovation) UPM, Prof. Dato’ Husaini Omar, Chief Secretary of Science, Technology and Innovation Ministry, Datuk Seri Dr. Mohd. Azhar Yahaya and Director of Institute of Plantation Studies UPM, Prof. Datin Dr. Siti Nor Akmar Abdullah who is also the Chairperson of ICBAA 2017 organising committee. - UPM

Date of Input: 15/12/2017 | Updated: 15/12/2017 | syifarida


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