IMAGE SET FOR FLOWER DETECTION IN APPLE TREES

This dataset is composed of 58 apple tree images. They were taken during full bloom in an apple orchard located at National Institute of Agricultural Technology (INTA) Experimental Station, General Roca, Argentina (39° 1’ 34’’ S; 67° 44’ 24.6’’ W).The orchard was established in 2000 with ‘Red Chief’ cultivar apple trees grafted on MM111 rootstock .Trees were planted in a total area of 0.8 ha at a distance of 1.5m between trees by 4m between rows and were trained as espalier. A few days before full bloom, images were obtained from 32 trees, under two conditions: i) natural daylight between 10 am and 13 pm, ii) at night with the artificial flash light of the camera. A black curtain was unfolded behind the trees when images were obtained under daylight conditions in order to avoid interference from neighboring trees. All images were taken with an RGB digital camera (14.1 MP) at approximately 3.0 m from the tree in a 90° angle to the row. An object of known dimensions (a 15x15 cm square) was placed in each tree as a scale reference. Simultaneously, all the flowers on each tree were manually counted. Images taken by using different proximal sensors can be used to estimate the number of flowers or fruits in trees. The accuracy of those methods have been studied and tested by many researchers during the past few years with encouraging results. Since manual counting method in fruit crops is a time-consuming labor and also lead to inaccurate results, image analysis could be used as an alternative procedure. The use of images could provide reliable and consistent data.

本数据集由58幅苹果树图像构成。这些图像拍摄于阿根廷罗卡将军市国家农业技术研究所（INTA）试验站的苹果园盛花期，该试验站坐标为南纬39°1′34″、西经67°44′24.6″。该果园始建于2000年，种植的红冠（Red Chief）苹果品种嫁接于MM111砧木上，果园总面积为0.8公顷，植株株行距为1.5米×4米，采用篱壁形（espalier）树形进行整形。盛花期前数日，研究人员从32株树上采集图像，拍摄分为两种场景：其一为上午10时至下午13时的自然日光环境，其二为夜间使用相机自带人工闪光灯的环境。在自然光条件下拍摄时，研究人员会在果树后方展开黑幕以避免邻树带来的画面干扰。所有图像均采用1410万像素RGB数码相机拍摄，拍摄距离约为3.0米，拍摄角度与果树行向呈90°。每株果树旁均放置一个尺寸已知的15cm×15cm正方形物体作为尺度参照。同时，研究人员对每株树上的所有花朵进行了人工计数。利用不同近距传感器采集的图像，可用于估算果树的花量或坐果量。近年来，诸多研究者已对这类估算方法的准确性开展了研究与测试，均取得了令人鼓舞的成果。由于果树作物的人工计数方法不仅耗时耗力，且结果易出现偏差，因此图像分析可作为替代方案。图像分析手段可提供可靠且一致的试验数据。

搜集汇总

背景与挑战

背景概述

该数据集包含58张苹果树图像，用于花朵检测研究。图像在阿根廷的一个苹果园中拍摄，涵盖了自然日光和夜间闪光灯两种条件，旨在通过图像分析替代传统手工计数方法，提高花朵数量估计的准确性和效率。