This paper presents a new supervised method for blood vessel detection in digital retinal images. uses neural network (NN) scheme pixel classification and computes 7-D vector composed of gray-level moment invariants-based features representation. The was evaluated on the publicly available DRIVE STARE databases, widely used this purpose, since they contain images where vascular structure has been precisely marked by experts. Method performance both sets test is better than other existing...

Optic disc (OD) detection is an important step in developing systems for automated diagnosis of various serious ophthalmic pathologies. This paper presents a new template-based methodology segmenting the OD from digital retinal images. uses morphological and edge techniques followed by Circular Hough Transform to obtain circular boundary approximation. It requires pixel located within as initial information. For this purpose, location based on voting-type algorithm also proposed. The...

Retinal blood vessel assessment plays an important role in the diagnosis of ophthalmic pathologies. The use digital images for this purpose enables application a computerized approach and has fostered development multiple methods automated vascular tree segmentation. Metrics based on contingency tables binary classification have been widely used evaluating performance these algorithms. from family are measurement success or failure rate detected pixels, obtained by means pixel-to-pixel...

The automation of classification and grading horticultural products attending to different features comprises a major challenge in food industry. Thus, focused on the olive sector, which boasts huge range cultivars, it is proposed methodology for olive-fruit variety classification, approaching as an image problem. To that purpose, 2,800 fruits belonging seven varieties were photographed. After processing these initial captures by means techniques, resulting set images individual used train,...

Grapevine flowering and fruit set greatly determine crop yield. This paper presents a new smartphone application for automatically counting, non-invasively directly in the vineyard, flower number grapevine inflorescence photos by implementing artificial vision techniques. The application, called vitisFlower(®), firstly guides user to appropriately take an photo using smartphone's camera. Then, means of image analysis, flowers are detected counted. vitisFlower(®) has been developed Android...

Fruit grading is an essential post-harvest task in the olive industry, where size-and-mass based fruit classification especially important when processing high-quality table olives. Within this context, research presents a new methodology aimed at supporting accurate automatic olive-fruit by using computer vision techniques and feature modeling. For its development, total of 3600 olive-fruits from nine varieties were photographed, stochastically distributing individuals on scene, ad-hoc...

In recent years, many olive orchards, which are a major crop in the Mediterranean basin, have been converted into intensive or super high-density hedgerow systems. This configuration is more efficient terms of yield per hectare, but at same time water requirements higher than traditional grove arrangements. Moreover, irrigation regulations high environmental (through use optimization) impact and influence on quality yield. The mapping (spatio-temporal) variability with conventional stress...

Grapevine flower number per inflorescence provides valuable information that can be used for assessing yield. Considerable research has been conducted at developing a technological tool, based on image analysis and predictive modelling. However, the behaviour of variety-independent models yield prediction capabilities wide set varieties never evaluated.Inflorescence images from 11 grapevine Vitis vinifera L. were acquired under field conditions. The visible in calculated manually,...

This paper describes a new methodology for noninvasive, objective, and automated assessment of yield in vineyards using image analysis Boolean model. Image analysis, as an inexpensive noninvasive procedure, has been studied this purpose, but the effect occlusions from cluster or other organs vine impact that diminishes quality results. To reduce influence estimation, number berries was assessed evaluate methodology, three different datasets were studied: images, manually acquired images...

Background and Aims Canopy assessment of the fruiting zone can lead to more informed vineyard management decisions. A non-destructive, image-based system capable operating on-the-go was developed assess canopy porosity, leaf bunch exposure red grape cultivars in vineyard. Methods Results On-the-go (7 km/h) night time images a vertically shoot positioned commercial were acquired with an automated green blue imaging system, coupled GPS controlled artificial lighting. The reference method point...

This paper presents a new methodology for the estimation of olive-fruit mass and size, characterized by its major minor axis length, using image analysis techniques. First, different sets olives from varieties Picual Arbequina were photographed in laboratory. An original algorithm based on mathematical morphology statistical thresholding was developed segmenting acquired images. The models three targeted features, specifically each variety, established linearly correlating information...

Within the context of precision agriculture, goods insurance, public subsidies, fire damage assessment, etc., accurate knowledge about plant population in crops represents valuable information. In this regard, use Unmanned Aerial Vehicles (UAVs) has proliferated as an alternative to traditional counting methods, which are laborious, time demanding and prone human error. Hence, a methodology for automated detection, geolocation crop trees intensive cultivation orchards from high resolution...

Aim: Pruning weight is an indicator of vegetative growth and vigour in grapevine. Traditionally, it manually determined, which time-consuming labour-demanding. This study aims at providing a new, non-invasive low-cost method for pruning estimation commercial vineyards based on computer vision.Methods results: The methodology relies computer-based analysis RGB images captured on-the-go VSP Tempranillo vineyard. Firstly, the was evaluated using taken photographs controlled background. These...

This study focuses on assessing the accuracy of supervised machine learning regression algorithms (MLAs) in predicting actual crop evapotranspiration (ETc act) for a deficit irrigated vineyard Vitis vinifera cv. Tempranillo, influenced by typical Mediterranean climate. The standard approach using Food and Agriculture Organization (FAO) under conditions (FAO-56 Kc-ET0) to estimate ETc act irrigation purposes faces limitations row-based, sparse, drip crops with large, exposed soil areas, due...

The standard methods for determining the quality of olives involve chemical that are time-consuming and expensive. These limitations lead growers to homogeneous harvesting based on subjective criteria such as intuition visual decisions. In recent times, precision agriculture techniques fruit assessment, spectroscopy, have been introduced. However, they require expensive equipment, which limit their use olive mills. This work presents a complete methodology new low-cost multispectral sensor...

Canopy conductance is a crucial factor in modelling plant transpiration and highly responsive to water stress. The objective of this study develop straightforward method for estimating canopy (g c ) grapevines. To predict g , combines stomatal vapor sw measurements from grapevine leaves, scaled represent the size by leaf area index (LAI), with atmospheric variables, such as net solar radiation (R n air pressure deficit (VPD). developed model was then validated comparing its predictions...

The popularisation of aerial remote sensing using unmanned vehicles (UAV), has boosted the capacities agronomists and researchers to offer farmers valuable data regarding status their crops. This paper describes a methodology for automated detection individual delineation tree crowns in representations crop fields by means image processing analysis techniques, providing accurate information about plant population canopy coverage intensive-farming orchards with row-based arrangement. To that...