Predicting harvest timing and yields with microclimate data

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

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

Start year: 2019

Summary: In horticulture and viticulture uncertainty around harvest timing and yields leads to inefficient allocation of labour and equipment, with substantial costs to growers and throughout supply chains. Harvest dates and yields are affected by weather, but in complex ways that are not well known. This project will create and deliver to growers predictive models of harvest date and yield in viticulture and berry crops by combining: 1. Existing microclimate sensing capabilities, crop models, and cloud computing and app solutions of The Yield 2. Crop data from major Australian growers 3. Microclimate and crop modelling expertise of UTS

Publications:

Desprez, M, Zawada, K & Ramp, D 2022, 'Overcoming the ordinal imbalanced data problem by combining data processing and stacked generalizations', Machine Learning with Applications, vol. 7, pp. 100241-100241.
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Zhang, M, Wang, B, Liu, DL, Liu, J, Zhang, H, Feng, P, Kong, D, Cleverly, J, Yang, X & Yu, Q 2020, 'Incorporating dynamic factors for improving a GIS‐based solar radiation model', Transactions in GIS, vol. 24, no. 2, pp. 423-441.
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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, 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.
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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), Oenology and viticulture

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.