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A detection method for occluded and overlapped apples under close-range targets
Accurate and rapid identification and location of apples contributes to speeding up automation harvesting. However, in unstructured orchard...
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Fruits yield estimation using Faster R-CNN with MIoU
Fruit yield estimation is one of the challenging tasks using on-plant images to support smart farming and provide information about the product so...
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A detection algorithm for cherry fruits based on the improved YOLO-v4 model
"Digital" agriculture is rapidly affecting the value of agricultural output. Robotic picking of the ripe agricultural product enables accurate and...
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An efficient ANFIS based pre-harvest ripeness estimation technique for fruits
The ripeness estimation of fruits plays a significant role in marketing and evaluation of quality. However, due to the subjectivity and slow speed in...
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Automatic detection of oil palm fruits from UAV images using an improved YOLO model
Manual harvesting of loose fruits in the oil palm plantation is both time consuming and physically laborious. Automatic harvesting system is an...
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Enhancing YOLOv7 for Plant Organs Detection Using Attention-Gate Mechanism
Herbarium scans are valuable raw data for studying how plants adapt to climate change and respond to various factors. Characterization of plant...
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Detection of Overlapped Apples in Orchard Scene Using Improved K-means and Distance Least Square
Automatic detection of mature apples in a complex agricultural condition is still a challenge for an autonomous picking robot due to the influence...
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Study on strawberry fruit detection using lightweight algorithm
A quicker and easier decision-making detection algorithm is important for mobile-phone application to support strawberry management. However,...
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Maturity Detection of Tomatoes Using Deep Learning
Agriculture 5.0 primarily constitutes the use of artificial intelligence and robotics as a hybrid technology that can automate a major portion of...
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A lightweight method for apple-on-tree detection based on improved YOLOv5
After apple fruit maturation, the optimal harvest period is short, and the picking robot is expected to improve harvesting efficiency. While it is...
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Incorporating Dilation Convolution into Mask Region Convolution Neural Network for Advanced Fruit Classification and Freshness Evaluation
Fruit supply and storage chains play a significant role in the food economies of all countries that export and consume these crops. Reducing the...
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Pest Detection in Olive Groves Using YOLOv7 and YOLOv8 Models
Modern agriculture faces important challenges for feeding a fast-growing planet’s population in a sustainable way. One of the most important...
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Fruit Detection from Digital Images Using CenterNet
In this paper, CenterNet is chosen as the model to settle fruit detection problem from digital images. Three CenterNet models with various backbones...
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A novel framework for semi-automated system for grape leaf disease detection
Plants play a significant role in our lives. They are the primary source of food. But when these are diagnosed with diseases, productivity reduces....
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Computer Vision and Machine Learning based approaches for Food Security: A Review
With the rapidly increase of population every day, it has become a major issue to fulfill everyone’s need for food products ( i.e. , vegetables,...
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Security enhanced random grid visual cryptography scheme using master share and embedding method
Visual cryptography scheme is one of the main branches of secret sharing. The image is converted into various shares and then recouped by overlap**...
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Deep Learning for Food Image Recognition and Nutrition Analysis Towards Chronic Diseases Monitoring: A Systematic Review
The management of daily food intake aids to preserve a healthy body, minimize the risk of many diseases, and monitor chronic diseases, such as...
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Deep Learning with Data Augmentation for Fruit Counting
Counting the number of fruits in an image is important for orchard management, but is complex due to different challenging problems such as...
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Detection of tomato organs based on convolutional neural network under the overlap and occlusion backgrounds
Traditional detection methods are not sensitive to small-sized tomato organs (flowers and fruits), because the immature green tomatoes are highly...
