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Predicting harvest timing and yields with microclimate data

Project Member(s): Ramp, D., Yu, Q., Huete, A.

Funding or Partner Organisation: Food Agility CRC Limited (Food Agility CRC)
Yield Technology Solutions Pty Ltd
Food Agility CRC Limited (Food Agility CRC)
Yield Technology Solutions Pty Ltd

Start year: 2019

Publications:

Feng, P, Wang, B, Liu, DL & Yu, Q 2019, 'Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia', Agricultural Systems, vol. 173, pp. 303-316.
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Wu, D, Wang, P, Jiang, C, Yang, J, Huo, Z & Yu, Q 2019, 'Correction to: Measured Phenology Response of Unchanged Crop Varieties to Long-Term Historical Climate Change (International Journal of Plant Production, (2019), 13, 1, (47-58), 10.1007/s42106-018-0033-z)', International Journal of Plant Production, vol. 13, no. 1, pp. 91-91.
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Wu, D, Wang, P, Jiang, C, Yang, J, Huo, Z & Yu, Q 2019, 'Measured Phenology Response of Unchanged Crop Varieties to Long-Term Historical Climate Change', International Journal of Plant Production, vol. 13, no. 1, pp. 47-58.
View/Download from: UTS OPUS or Publisher's site

He, L, Wu, M, Hou, Y, Zhao, G, Jin, N & Yu, Q 2018, 'Statistical characteristics of heat stress in early rice based on extreme value distribution in China', Chinese Journal of Eco-Agriculture, vol. 26, no. 11, pp. 1601-1612.
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FOR Codes: Oenology and Viticulture, Horticultural Crop Growth and Development, Meteorology, Wine Grapes, Berry Fruit (excl. Kiwifruit)