[HTML][HTML] Fruit sizing using AI: a review of methods and challenges
Fruit size at harvest is an economically important variable for high-quality table fruit
production in orchards and vineyards. In addition, knowing the number and size of the fruit …
production in orchards and vineyards. In addition, knowing the number and size of the fruit …
An extensive review on agricultural robots with a focus on their perception systems
A Thakur, S Venu, M Gurusamy - Computers and Electronics in Agriculture, 2023 - Elsevier
Agriculture represents an essential aspect of human existence, providing the sustenance
necessary for survival in the form of food and various other products. Additionally, it serves …
necessary for survival in the form of food and various other products. Additionally, it serves …
A comparative study of fruit detection and counting methods for yield mapping in apple orchards
We present a modular end‐to‐end system for yield estimation in apple orchards. Our goal is
to identify fruit detection and counting methods with the best performance for this task. We …
to identify fruit detection and counting methods with the best performance for this task. We …
MinneApple: a benchmark dataset for apple detection and segmentation
In this work, we present a new dataset to advance the state-of-the-art in fruit detection,
segmentation, and counting in orchard environments. While there has been significant …
segmentation, and counting in orchard environments. While there has been significant …
On-tree apple fruit size estimation using stereo vision with deep learning-based occlusion handling
O Mirbod, D Choi, PH Heinemann, RP Marini… - Biosystems …, 2023 - Elsevier
Highlights•On-tree apples at various maturity stages were sized using a machine vision
system.•Active lighting system enhanced fruit boundary definition to reduce sizing …
system.•Active lighting system enhanced fruit boundary definition to reduce sizing …
Robust fruit counting: Combining deep learning, tracking, and structure from motion
We present a novel fruit counting pipeline that combines deep segmentation, frame to frame
tracking, and 3D localization to accurately count visible fruits across a sequence of images …
tracking, and 3D localization to accurately count visible fruits across a sequence of images …
Ellipse R-CNN: Learning to infer elliptical object from clustering and occlusion
Images of heavily occluded objects in cluttered scenes, such as fruit clusters in trees, are
hard to segment. To further retrieve the 3D size and 6D pose of each individual object in …
hard to segment. To further retrieve the 3D size and 6D pose of each individual object in …
Semantic mapping for orchard environments by merging two‐sides reconstructions of tree rows
Measuring semantic traits for phenotyping is an essential but labor‐intensive activity in
horticulture. Researchers often rely on manual measurements which may not be accurate for …
horticulture. Researchers often rely on manual measurements which may not be accurate for …
A novel vision-based weakly supervised framework for autonomous yield estimation in agricultural applications
Autonomous systems have been established as a ground-breaking technology in
agriculture, particularly for resource optimization and labor savings. However, even those …
agriculture, particularly for resource optimization and labor savings. However, even those …
Yield estimation and visualization solution for precision agriculture
Y Osman, R Dennis, K Elgazzar - Sensors, 2021 - mdpi.com
We present an end-to-end smart harvesting solution for precision agriculture. Our proposed
pipeline begins with yield estimation that is done through the use of object detection and …
pipeline begins with yield estimation that is done through the use of object detection and …