1. Sowat, S.N., W.I.W. Ismail, M.R. Mahadi, S.K. Bejoand M.S.M. Kassim, 2018. Trend in the development of oil palm fruit harvesting technologies in Malaysia. J. Teknol., 80: 83-91.
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2. Lin, M.G., O. Lasekan, N. Saari and S. Khairunniza-Bejo, 2018. Effect of chitosan and carrageenan-based edible coatings on post-harvested longan (Dimocarpus longan) fruits. CYTA-J. Food, 16: 490-497.
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3. Khosrokhani, M., S. Khairunniza-Bejo and B. Pradhan, 2018. Geospatial technologies for detection and monitoring of Ganoderma basal stem rot infection in oil palm plantations: A review on sensors and techniques. Geocarto Int., 33: 260-276.
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4. Khaled, A.Y., S.A. Aziz, S.K. Bejo, N.M. Nawi and I.A. Seman, 2018. Spectral features selection and classification of oil palm leaves infected by Basal Stem Rot (BSR) disease using dielectric spectroscopy. Comput. Elect. Agric., 144: 297-309.
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5. Khaled, A.Y., S. Abd Aziz, S.K. Bejo, N.M. Nawi, I.A. Seman and D.I. Onwude, 2018. Early detection of diseases in plant tissue using spectroscopy-applications and limitations. Applied Spectrosc. Rev., 53: 36-64.
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6. Khairunnniza-Bejo, S., N. Ramli and F.M. Muharam, 2018. Wireless Sensor Network (WSN) Applications in plantation canopy areas: A review. Asian J. Scient. Res., 11: 151-161.
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7. Hashim, I.C., A.R.M. Shariff, S.K. Bejo, F.M. Muharam and K. Ahmad, 2018. Classification for non infected and infected ganoderma boninense of oil palm trees using ALOS PALSAR-2 backscattering coefficient. IOP Confer. Ser.: Earth Environ. Sci., Vol. 169. 10.1088/1755-1315/169/1/012066.
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8. Alfatni, M.S.M., A.R.M. Shariff, S.K. Bejo, O.M.B. Saaed and A. Mustapha, 2018. Real-time oil palm FFB ripeness grading system based on ANN, KNN and SVM classifiers. IOP Confer. Ser.: Earth Environ. Sci., Vol. 169. 10.1088/1755-1315/169/1/012067.
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9. Yusoff, N.M., F.M. Muharam and S. Khairunniza-Bejo, 2017. Towards the use of remote-sensing data for monitoring of abandoned oil palm lands in Malaysia: A semi-automatic approach. Int. J. Remote Sens., 38: 432-449.
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10. Sowat, S.N., W.I.W. Ismail and S.K. Bejo, 2017. Design and feasibility study of a surface-irregularities adaptive tracked crawler based on oil palm tree morphological features. J. Eng. Applied Sci., 12: 5949-5955.
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11. Lin, M.G., O. Lasekan, N. Saari and S. Khairunniza-Bejo, 2017. The effect of the application of edible coatings on or before ultraviolet treatment on postharvested longan fruits. J. Food Qual., Vol. 2017. 10.1155/2017/5454263.
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12. Khosrokhani, M., S. Khairunniza-Bejo and B. Pradhan, 2017. Geospatial technologies for detection and monitoring of Ganoderma basal stem rot infection in oil palm plantations: a review on sensors and techniques. Geocarto Int., 10.1080/10106049.2016.1243410.
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13. Johari, S.N.A.M., S. Khairunniza-Bejo and W.I.W. Ismail, 2017. Identification of dorsal and ventral surface of rubber seed using image processing and machine learning approach. Sci. Int., 29: 121-125.
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14. Gro, T., N. Hashim, S. Khairunniza-Bejo, A.S. Abd and M. Zude-Sasse, 2017. Determination of maturity stages of oil palm fresh fruit bunches using multispectral imaging method. Acta Hortic., 1152: 71-76.
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15. Bahaman, A.R., S.A. Nordin, V. Poulsaeman and S.K. Bejo, 2017. Case 7: Tragic Outing. In: A Problem-Based Learning Approach One Health Cases, Arshad, S.S., G.T. Selvarajah, W.M.S.M. Mossadeq, F.M. Kamal, J.H. Amuguni, M.A. Omar and R. Abdullah (Eds.)., Universiti Putra Malaysia Press, Serdang, Malaysia.
16. Ali, M.M., N. Hashim, S.K. Bejo and R. Shamsudin, 2017. Rapid and nondestructive techniques for internal and external quality evaluation of watermelons: A review. Scient. Horticult., 225: 689-699.
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17. Ali, M.M., N. Hashim, S.K. Bejo and R. Shamsudin, 2017. Quality Evaluation of Watermelon using Laser-induced Backscattering Imaging during Storage. Postharvest Biol. Technol., 123: 51-59.
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18. Ali, M.M., N. Hashim, S.K. Bejo and R. Shamsudin, 2017. Laser-induced backscattering imaging for classification of seeded and seedless watermelons. Comput. Elect. Agric., 140: 311-316.
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19. Ali, M.M., N. Hashim, S. Khairunniza-Bejo, R. Shamsudin and W.N.F.H.W. Sembak, 2017. RGB imaging system for monitoring quality changes of seedless watermelon during storage. Acta Hortic., 1152: 361-366.
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20. Ali, M.M., N. Hashim, R. Shamsudin and S.K. Bejo, 2017. Optical parameters in food and agricultural processing. Int. Food Res. J., 24: 908-914.
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21. Muazu, A., A. Yahya, W.I.W. Ishak and S. Khairunniza-Bejo, 2016. Optimization of Energy Use Intensity using data Envelopment Analysis and Benchmarking Methodology for Sustainable Rice Cultivation under Wetland Direct Seeding Conditions in Malaysia. Jurnal Teknologi, 78: 21-28.
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22. Khairunniza-Bejo, S., Z. Zulkifli and F.M. Muharam, 2016. Effect of nitrogen fertilizer to growth, biomass and grain yield of paddy. Int. Confer. Agric. Food Eng., 1152: 159-164.
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23. Khairunniza-Bejo, S., N. Sumgap and N.A.M.J. Siti, 2016. Relationship between soil moisture content in paddy field and its image texture. J. Teknologi, 78: 93-96.
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24. Khairunniza-Bejo, S., N. Azman and N. Jamil, 2016. Paddy Grading using Thermal Imaging Technology. Int. Food Res. J., 23: 45-48.
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25. Jahanshiri, E., A.R.M. Shariff, S. Khairunniza-Bejo and A. Wayayok, 2016. Developing geostatistical mapping tools for precision farming of rice. Acta Hortic., 1152: 77-86.
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26. Ezrin, M.H., W. Aimrun, M.S.M. Amin and S. Khairunniza-Bejo, 2016. Development of real Time Soil Nutrient Mapping System in Paddy Field. J. Teknologi, 78: 125-131.
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27. Abdulkadir, T.D., W.I.W. Ishak, M.S.M. Kasim and S. Khairunniza-Bejo, 2016. Suitability of Capsule as a Paddy Coating Material for the System of Rice Intensification (SRI). Jurnal Teknologi, 78: 105-110.
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28. Zulkifli, Z. and S. Khairunniza-Bejo, 2015. Paddy Growth Monitoring Using Terrestrial Laser Scanner. Austr. J. Basic Appl. Sci., 9: 90-96.
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29. Muazu, A., A. Yahya, W.I.W. Ishak and S. Khairunniza-Bejo, 2015. Energy audit for sustainable wetland paddy cultivation in Malaysia. Energy, 87: 182-191.
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30. Khairunniza-Bejo, S., Y. Yusoff, N.S.N. Yusoff, I.A. Seman and M.I. Anuar, 2015. Identification of Healthy and BSR-Infected Oil Palm Trees Using Color Indices. Int. J. Biol. Biomol. Agric. Food Biotechnol. Eng., 9: 674-767.
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31. Azman, N., S. Khairunniza-Bejo, W.I.W. Ismail and A. Wayayok, 2015. Development of fresh harvested paddy quality determination model using color indices. Aust. J. Basic Applied Sci., 9: 50-56.
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32. Saberioon, M.M., M.S.M. Amin, A.R. Anuar, A. Gholizadeh, A. Wayayok and S. Khairunniza-Bejo, 2014. Assessment of Rice Leaf Chlorophyll Content using Visible Bands at Different Growth Stages at Both the Leaf and Canopy Scale. Int. J. Applied Earth Observation Geoinf., 32: 35-45.
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33. Muazu, A., A. Yahya, W.I.W. Ishak and S. Khairunniza-Bejo, 2014. Yield Prediction Modeling Using Data Envelopment Analysis Methodology for Direct Seeding, Wetland Paddy Cultivation. Agric. Agric. Sci. Procedia, 2: 181-190.
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34. Muazu, A., A. Yahya, W.I.W. Ishak and S. Khairunniza-Bejo, 2014. Machinery Utilization and Production Cost of Wetland, Direct Seeding Paddy Cultivation in Malaysia. Agric. Agric. Sci. Procedia, 2: 361-369.
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35. Khairunniza-Bejo, S., S. Mustapha and W.I.W. Ismail, 2014. Application of Artificial Neural Network in Predicting Crop Yield: A Review. J. Food Sci. Eng., 4: 1-9.
36. Khairunniza-Bejo, S. and S. Kamaruddin, 2014. Determination of Chokanan Mango Sweetness (Mangifera indica) Using Non-destructive Image Processing Technique. Aust. J. Crop Sci., 8: 475-480.
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37. Khairunniza-Bejo, S. and M.S. Nor, 2014. Mature and Immature Paddy Identification using Image Processing Technique. J. Eng. Sci. Technol., 9: 326-333.
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38. Khairunniza-Bejo, S. and C.N. Vong, 2014. Detection of Basal Stem Rot (BSR) Infected Oil Palm Tree Using Laser Scanning Data. Agric. Agric. Sci. Procedia, 2: 156-164.
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39. Kassim, M.S.M., W.I.W. Ishak, A.R. Ramli and S. Khairunniza-Bejo, 2014. Image Clustering Technique in Oil Palm Fresh Fruit Bunch (FFB). Agric. Agric. Sci. Procedia, 2: 337-344.
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40. Jamil, N. and S. Khairunniza-Bejo, 2014. Husk Detection Using Thermal Imaging Technology. Agric. Agric. Sci. Procedia, 2: 128-135.
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41. Haw, C.L., W.I.W. Ismail, S. Kairunniza-Bejo, A. Putih and R. Shamshiri, 2014. Colour vision to determine paddy maturity. Int. J. Agric. Biol. Eng., 7: 55-63.
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42. Hanibah, S.S.B., S. Khairunniza-Bejo, W.I.W. Ismail and A. Wayayok, 2014. Determination of physical rice composition using image processing technique. J. Food Agric. Environ., 12: 205-209.
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43. Farid, M., S. Khairunniza-Bejo, F. Vesali and Y. Jyuking, 2014. A New Mathematical Drying Model for Paddy Rice via Thermal Imaging. J. Food Agric. Environ., 12: 666-668.
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44. Farid, M., S. Khairunniza-Bejo and A. Azman, 2014. An Approach to Estimate Moisture Content of Paddy Rice via Thermal Imaging. J. Food Agric. Environ., 12: 188-191.
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45. Azman, N., S. Khairunniza-Bejo, W.I.W. Ismail and W. Wayayok, 2014. Estimating Maturity of Paddy Using RGB Colour Space. J. Adv. Agric. Technol., 1: 119-124.
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46. Norasma, C.Y.N., A.R.M. Shariff, E. Jahanshiri, M.S.M. Amin, S.Khairunniza- Bejo and A.R. Mahmud, 2013. Web-Based Decision Support System for Paddy Planting Management. Pertanika J. Sci. Technol., 21: 343-364.
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47. Khairunniza-Bejo, S. and N. Jamil, 2013. Preliminary study on detection of fungal infection in stored paddy using thermal image. Int. Proc. Chem. Biol. Environ. Eng., 60: 19-23.
48. Ezrin, M.H., W. Aimrun, M.S.M. Amin and S. Khairunniza-Bejo, 2013. Development of on-the-go Soil Nitrogen Mapping System for Site Specific Management. J. Inst. Eng. Malaysia, 74: 14-20.
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49. Kassim, M.S.M., W.I.W. Ismail, A.R. Ramli and S. Khairunniza-Bejo, 2012. Oil Palm Fresh Fruit Bunches (FFB) Growth Determination System to Support Harvesting Operation. J. Food Agric.Environ., 10: 620-625.
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50. Amin, M.R.M., S. Khairunniza-Bejo, W.I.W. Ismail and S. Mashoor, 2012. Colour Extraction of Agarwood Images for Fuzzy C-Means Classification. Walailak J. Sci. Technol., 9: 445-459.
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51. Sumgap, N.H. and S. Khairunniza-Bejo, 2011. Color Spaces for Paddy Soil Moisture Content Determination. J. Trop. Agric. Food Sci., 39: 103-115.
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52. Khairunniza-Bejo, S. and A.R.M. Shariff, 2011. Historical Analysis of the Land Movement in Landslide Area Using Elastic Image Registration and Conditional Statement Approach. Int. J. Multimedia Ubiquitous Eng., 6: 37-48.
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53. Jahari, M., S. Khairunniza-Bejo, A.R.M. Shariff and H.Z.M. Shafri, 2011. Change detection studies in Matang Mangrove Forest area, Perak. Pertanika J. Sci. Technol., 19: 307-327.
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54. Mobarak, B.A., M. Shattri, A.R.M. Shariff, S. Khairunniza-Bejo and N.K. Mhamed, 2010. Generation of DEMs from Single SAR Image Using Radar Shape from Shading Technique. Int. Geoinf. Res Devel. J., 1: 59-69.
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55. Khairunniza-Bejo, S., M. Petrou and A. Ganas, 2010. Local Similarity Measure for Landslide Detection and Identification in Comparison with the Image Differencing Method. Int. J. Remote Sens., 31: 6033-6045.
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56. Khairunniza-Bejo, S. and M. Petrou, 2010. Elastic Image Registration for Landslides Monitoring. Int. J. Signal Process., 3: 71-86.
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