Image Based Mango Fruit Detection, Localisation and Yield Estimation Using Multiple View Geometry

Mapping almond orchard canopy volume, flowers, fruit and yield using lidar and vision sensors

(2016) James P. Underwood et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Machine vision for counting fruit on mango tree canopies

(2016) W. S. Qureshi et al.   PRECISION AGRICULTURE

DeepFruits: A Fruit Detection System Using Deep Neural Networks

(2016) Inkyu Sa et al.   SENSORS

Sensors and systems for fruit detection and localization: A review

(2015) A. Gongal et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Lidar-Based Tree Recognition and Platform Localization in Orchards

(2015) James P. Underwood et al.   Journal of Field Robotics

A Pipeline for Trunk Detection in Trellis Structured Apple Orchards

(2015) Suchet Bargoti et al.   Journal of Field Robotics

Automatic fruit recognition and counting from multiple images

(2014) Y. Song et al.   BIOSYSTEMS ENGINEERING

Automated Visual Yield Estimation in Vineyards

(2014) Stephen Nuske et al.   Journal of Field Robotics

Agricultural Robotics: Unmanned Robotic Service Units in Agricultural Tasks

(2013) Fernando Alfredo Auat Cheein et al.   IEEE Industrial Electronics Magazine

Estimation of mango crop yield using image analysis – Segmentation method

(2012) A.B. Payne et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Determination of the number of green apples in RGB images recorded in orchards

(2011) Raphael Linker et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Error modeling and calibration of exteroceptive sensors for accurate mapping applications

(2009) James P. Underwood et al.   Journal of Field Robotics