Review on fruit harvesting method for potential use of automatic fruit harvesting systems

P Li, S Lee, HY Hsu - Procedia Engineering, 2011 - Elsevier
In horticultural industry, conventional harvesting is done by 'handpicking'methods to remove
hundreds of fruits such as citrus fruits in random spatial locations on the individual fruit trees …

[PDF][PDF] Application of artificial neural network in predicting crop yield: A review

S Khairunniza-Bejo, S Mustaffha… - Journal of Food Science …, 2014 - researchgate.net
Agricultural system is very complex since it deals with large data situation which comes from
a number of factors. A lot of techniques and approaches have been used to identify any …

Predicting individual apple tree yield using UAV multi-source remote sensing data and ensemble learning

R Chen, C Zhang, B Xu, Y Zhu, F Zhao, S Han… - … and Electronics in …, 2022 - Elsevier
As one of the world's most popular fruit, apple tree yield prediction before harvest plays an
important role in optimizing orchard nutrition management, especially at the individual tree …

Early yield prediction using image analysis of apple fruit and tree canopy features with neural networks

H Cheng, L Damerow, Y Sun, M Blanke - Journal of Imaging, 2017 - mdpi.com
(1) Background: Since early yield prediction is relevant for resource requirements of
harvesting and marketing in the whole fruit industry, this paper presents a new approach of …

Automatic green fruit counting in orange trees using digital images

W Maldonado Jr, JC Barbosa - Computers and Electronics in Agriculture, 2016 - Elsevier
Yield estimation is an important factor in a production process planning. In the case of citrus
crops, can be useful in industrial management and as guidance for farmers, showing a …

Random Forests modelling for the estimation of mango (Mangifera indica L. cv. Chok Anan) fruit yields under different irrigation regimes

S Fukuda, W Spreer, E Yasunaga, K Yuge… - Agricultural water …, 2013 - Elsevier
'Chok Anan'mangoes, mainly produced in Northern Thailand, are appreciated for their light
to bright yellow colour and sweet taste. Because fruit development of the on-season …

Integrating remote sensing and weather variables for mango yield prediction using a machine learning approach

BA Torgbor, MM Rahman, J Brinkhoff, P Sinha… - Remote Sensing, 2023 - mdpi.com
Accurate pre-harvest yield forecasting of mango is essential to the industry as it supports
better decision making around harvesting logistics and forward selling, thus optimizing …

Comparative analysis of different uni-and multi-variate methods for estimation of vegetation water content using hyper-spectral measurements

M Mirzaie, R Darvishzadeh, A Shakiba… - International journal of …, 2014 - Elsevier
Assessment of vegetation water content is critical for monitoring vegetation condition,
detecting plant water stress, assessing the risk of forest fires and evaluating water status for …

Remotely sensed real-time quantification of biophysical and biochemical traits of Citrus (Citrus sinensis L.) fruit orchards–A review

A Ali, M Imran - Scientia horticulturae, 2021 - Elsevier
Remote sensing provides accurate and cost-effective solution to quantify the biophysical
and biochemical traits of citrus fruit orchards. Timely information on these traits can be used …

Remote sensing and geospatial technological applications for site-specific management of fruit and nut crops: A review

SS Panda, G Hoogenboom, JO Paz - Remote Sensing, 2010 - mdpi.com
Site-specific crop management (SSCM) is one facet of precision agriculture which is helping
increase production with minimal input. It has enhanced the cost-benefit scenario in crop …