Machine vision methods in forecast of mango crop

Author:

Amaral M.,Koirala A.,Walsh K.B.

Publisher

International Society for Horticultural Science (ISHS)

Reference12 articles.

1. Growing degree day targets for fruit development of Australian mango cultivars.;Amaral;Horticulturae,2023

2. Estimation of fruit load in mango orchards: tree sampling considerations and use of machine vision and satellite imagery.;Anderson;Precision Agriculture,2019

3. Technologies for forecasting tree fruit load and harvest timing: from ground, sky and time.;Anderson;Agronomy (Basel),2021

4. Estimation of fruit load in australian mango orchards using machine vision.;Anderson;Agronomy (Basel),2021

5. Clonan, M., Hernaman, V., Pearce, K., Hopkins, M., Moise, A., and McConchie, C. (2020). Impact of climate change on flowering induction in mangoes in the Northern Territory [Editorial]. Earth Systems and Climate Change Hub Report No. 16.

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