Add to ORKGThis paper tries to combat the food waste of strawberries during the harvesting steps.An automatic pipeline must be established to combat this food waste.One of the steps needed in this pipeline is detecting strawberries in images.Therefore, this paper aims to find out which Convolutional Neural Network (CNN) can be best used to detect strawberries. Faster r-cnn, Mask r-cnn and RetinaNet are compared against each other using different setting.Mask r-cnn achieved the highest average bounding box and segmentation mAP with 51.63 and 73.20 respectively.CSE3000 Research ProjectComputer Science and Engineerin
Fruit recognition is useful for automatic fruit harvesting. Fruit recognition application can reduce...
Object detection dataset with annotated ripe and unripe strawberries and their peduncles. Data is an...
In orchard fruit picking systems for pears, the challenge is to identify the full shape of the soft ...
To reduce food waste, the strawberry harvesting process should be optimized. In the modern era, comp...
The thesis presents the raspberry quality detection approach based on a convolutional neural networ...
Abstract Modern people who value healthy eating habits have shown increasing interest in plum (Prunu...
Raspberries are fruit of great importance for human beings. Their products are segmented by quality....
This paper presents a novel approach to fruit detection using deep convolutional neural networks. Th...
This paper presents a novel approach to fruit detection using deep convolutional neural networks. Th...
Fruit detection is crucial for yield estimation and fruit picking system performance. Many state-of-...
Robotization of tasks in the agricultural domain has the potential to transform food production thro...
Fruit detection is crucial for yield estimation and fruit picking system performance. Many state-of-...
This work presents a machine vision system for the localization of strawberries and environment perc...
Aiming to determine the inaccurate image segmentation of strawberries with varying maturity levels d...
Agriculture is an important sector for developing countries and farmers. Recently, numerous techniqu...
Fruit recognition is useful for automatic fruit harvesting. Fruit recognition application can reduce...
Object detection dataset with annotated ripe and unripe strawberries and their peduncles. Data is an...
In orchard fruit picking systems for pears, the challenge is to identify the full shape of the soft ...
To reduce food waste, the strawberry harvesting process should be optimized. In the modern era, comp...
The thesis presents the raspberry quality detection approach based on a convolutional neural networ...
Abstract Modern people who value healthy eating habits have shown increasing interest in plum (Prunu...
Raspberries are fruit of great importance for human beings. Their products are segmented by quality....
This paper presents a novel approach to fruit detection using deep convolutional neural networks. Th...
This paper presents a novel approach to fruit detection using deep convolutional neural networks. Th...
Fruit detection is crucial for yield estimation and fruit picking system performance. Many state-of-...
Robotization of tasks in the agricultural domain has the potential to transform food production thro...
Fruit detection is crucial for yield estimation and fruit picking system performance. Many state-of-...
This work presents a machine vision system for the localization of strawberries and environment perc...
Aiming to determine the inaccurate image segmentation of strawberries with varying maturity levels d...
Agriculture is an important sector for developing countries and farmers. Recently, numerous techniqu...
Fruit recognition is useful for automatic fruit harvesting. Fruit recognition application can reduce...
Object detection dataset with annotated ripe and unripe strawberries and their peduncles. Data is an...
In orchard fruit picking systems for pears, the challenge is to identify the full shape of the soft ...