Olive-fruit yield estimation by modelling perceptual visual features

Fruit yield prediction and estimation in orchards: A state-of-the-art comprehensive review for both direct and indirect methods

(2022) Leilei He et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Intelligent Fruit Yield Estimation for Orchards Using Deep Learning Based Semantic Segmentation Techniques—A Review

(2021) Prabhakar Maheswari et al.   Frontiers in Plant Science

The Monumental Olive Trees as Biocultural Heritage of Mediterranean Landscapes: The Case Study of Sicily

(2021) Rosario Schicchi et al.   Sustainability

Technologies for Forecasting Tree Fruit Load and Harvest Timing—From Ground, Sky and Time

(2021) Nicholas Todd Anderson et al.   Agronomy-Basel

Climate Change Adaptation Measures in the Irrigation of a Super-Intensive Olive Orchard in the South of Portugal

(2021) Sofia Branquinho et al.   Agronomy-Basel

Planting Systems for Modern Olive Growing: Strengths and Weaknesses

(2021) Riccardo Lo Bianco et al.   Agriculture-Basel

Segmentation of abnormal leaves of hydroponic lettuce based on DeepLabV3+ for robotic sorting

(2021) Zhenchao Wu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep neural networks for grape bunch segmentation in natural images from a consumer-grade camera

(2020) R. Marani et al.   PRECISION AGRICULTURE

Identification of olive fruit, in intensive olive orchards, by means of its morphological structure using convolutional neural networks

(2020) Arturo Aquino et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Assessment of Olive Tree Canopy Characteristics and Yield Forecast Model Using High Resolution UAV Imagery

(2020) Dimitrios Stateras et al.   Agriculture-Basel

Automatic extraction of wheat lodging area based on transfer learning method and deeplabv3+ network

(2020) Dongyan Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Canopy segmentation and wire reconstruction for kiwifruit robotic harvesting

(2020) Zhenzhen Song et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Survey on semantic segmentation using deep learning techniques

(2019) Fahad Lateef et al.   NEUROCOMPUTING

A new aerobiological indicator to optimize the prediction of the olive crop yield in intensive farming areas of southern Spain

(2019) Fátima Aguilera et al.   AGRICULTURAL AND FOREST METEOROLOGY

Deep learning – Method overview and review of use for fruit detection and yield estimation

(2019) Anand Koirala et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Olive Actual “on Year” Yield Forecast Tool Based on the Tree Canopy Geometry Using UAS Imagery

(2017) et al.   SENSORS

Modeling olive-crop forecasting in Tunisia

(2016) Ali Ben Dhiab et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Forecasting olive crop yields based on long-term aerobiological data series and bioclimatic conditions for the southern Iberian Peninsula

(2014) Fátima Aguilera et al.   SPANISH JOURNAL OF AGRICULTURAL RESEARCH

Simulation of olive fruit yield in Tuscany through the integration of remote sensing and ground data

(2012) Fabio Maselli et al.   ECOLOGICAL MODELLING

The effect of planting distances and tree shape on yield and harvest efficiency of cv. Manzanillo table olives

(2012) S. Lavee et al.   SCIENTIA HORTICULTURAE

Yield modelling in a Mediterranean species utilizing cause–effect relationships between temperature forcing and biological processes

(2009) Orlandi Fabio et al.   SCIENTIA HORTICULTURAE