Browse by Socio-Economic Objective (ANZSRC 2020)

Jui, S. Janifer Jabin and Ahmed, A. A. Masrur and Bose, Aditi and Raj, Nawin ORCID: https://orcid.org/0000-0002-8364-2644 and Sharma, Ekta and Soar, Jeffrey ORCID: https://orcid.org/0000-0002-4964-7556 and Chowdhury, Md Wasique Islam (2022) Spatiotemporal Hybrid Random Forest Model for Tea Yield Prediction Using Satellite-Derived Variables. Remote Sensing, 14 (3):805. pp. 1-18.

Choudhury, Malini Roy and Das, Sumanta and Christopher, Jack and Apan, Armando ORCID: https://orcid.org/0000-0002-5412-8881 and Chapman, Scott and Menzies, Neal W. and Dang, Yash P. (2021) Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques. Remote Sensing, 13 (17):3482. pp. 1-27.

Kaveh, Mohammad and Abbaspour-Gilandeh, Yousef and Fatemi, Hamideh and Chen, Guangnan ORCID: https://orcid.org/0000-0001-8460-9224 (2021) Impact of different drying methods on the drying time, energy, and quality of green peas. Journal of Food Processing and Preservation, 45 (6):e15503. pp. 1-16. ISSN 0145-8892

Murray, Chris and Condell, Jillian and Murray, Peter ORCID: https://orcid.org/0000-0003-1143-1706 (2005) Towards a profitable and sustainable future for grain growers - a professional development model for farm partners. International Journal of Education and Development Using Information and Communication Technology, 1 (4). pp. 89-100.