[HTML][HTML] Narrow orchard systems for pome and stone fruit—a review

A Scalisi, MG O'Connell, D Stefanelli, S Zhou, T Pitt… - Scientia …, 2024 - Elsevier
The main characteristics of Narrow Orchard Systems (NOS) are (i) narrow canopies, with (ii)
multiple closely-spaced upright leaders and (iii) narrow inter-rows, regardless of tree …

Management Information Systems for Tree Fruit–2: Design of a Mango Harvest Forecast Engine

HK Dhonju, T Bhattarai, MH Amaral, M Matzner… - Horticulturae, 2024 - mdpi.com
Spatially enabled yield forecasting is a key component of farm Management Information
Systems (MISs) for broadacre grain production, enabling management decisions such as …

[HTML][HTML] Fruit Position, Light Exposure and Fruit Surface Temperature Affect Colour Expression in a Dark-Red Apple Cultivar

M Peavey, A Scalisi, MS Islam, I Goodwin - Horticulturae, 2024 - mdpi.com
This study aimed to evaluate the effects of fruit position, light exposure and fruit surface
temperature (FST) on apple fruit colour development and fruit quality at harvest, including …

A UAV-Based Single-Lens Stereoscopic Photography Method for Phenotyping the Architecture Traits of Orchard Trees

W Zhang, X Peng, T Bai, H Wang, D Takata, W Guo - Remote Sensing, 2024 - mdpi.com
This article addresses the challenges of measuring the 3D architecture traits, such as height
and volume, of fruit tree canopies, constituting information that is essential for assessing tree …

Feasibility study on fruit parameter estimation based on hyperspectral LiDAR point cloud

H Shao, X Li, F Wang, L Sun, C Wang, Y Hu - Journal of Food …, 2024 - Springer
Fruit parameter estimation is beneficial to intelligent management of orchards. This study
proposed a compound method to estimate the fruit ripeness, number and size based on …

Efficient encoding and decoding of voxelized models for machine learning-based applications

D Strnad, Š Kohek, B Žalik, L Váša, A Nerat - IEEE Access, 2025 - ieeexplore.ieee.org
Point clouds have become a popular training data for many practical applications of
machine learning in the fields of environmental modeling and precision agriculture. In order …

[HTML][HTML] ASPEN study case: Real time in situ apples detection and characterization

C Chiang, A Monney, P Monney, D Christen - Smart Agricultural …, 2024 - Elsevier
Due to an increasing demand for food and pressures on our ecosystem, mechanisation and
automation in agriculture has been proposed as one of the main solutions to the problems …

[HTML][HTML] The Effects of Planting Density, Training System and Cultivar on Vegetative Growth and Fruit Production in Young Mango (Mangifera indica L.) Trees

PT Ibell, F Normand, CL Wright, K Mahmud, ISE Bally - Horticulturae, 2024 - mdpi.com
Increasing the planting density of mango orchards appears promising for obtaining higher
yields, particularly during the first productive years. However, the challenge is to maintain a …

[PDF][PDF] Advances in Precision Production of Fruits through the Use of Digital Technologies

BNS MURTHY, S GUTAM - researchgate.net
Precision horticulture, which combines innovative technologies and data-driven
methodologies, aims to maximize crop production by closely monitoring and managing …