PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain
The production of food, feed, fiber, and fuel is a key task of agriculture, which has to cope
with many challenges in the upcoming decades, eg, a higher demand, climate change, lack …
with many challenges in the upcoming decades, eg, a higher demand, climate change, lack …
Challenges and opportunities in Machine learning for bioenergy crop yield Prediction: A review
Bioenergy offers a sustainable alternative to fossil fuels, addressing energy security and
climate change concerns. This paper reviews the current landscape of machine learning …
climate change concerns. This paper reviews the current landscape of machine learning …
Robust double-encoder network for rgb-d panoptic segmentation
Perception is crucial for robots that act in real-world environments, as autonomous systems
need to see and understand the world around them to act properly. Panoptic segmentation …
need to see and understand the world around them to act properly. Panoptic segmentation …
Open-World Semantic Segmentation Including Class Similarity
Interpreting camera data is key for autonomously acting systems such as autonomous
vehicles. Vision systems that operate in real-world environments must be able to understand …
vehicles. Vision systems that operate in real-world environments must be able to understand …
High precision leaf instance segmentation for phenotyping in point clouds obtained under real field conditions
Measuring plant traits with high throughput allows breeders to monitor and select the best
cultivars for subsequent breeding generations. This can enable farmers to improve yield to …
cultivars for subsequent breeding generations. This can enable farmers to improve yield to …
Advances and Challenges in Computer Vision for Image-Based Plant Disease Detection: A Comprehensive Survey of Machine and Deep Learning Approaches
As advancements in agricultural technology unfold, machine learning and deep learning
approaches are gaining interest in robust plant disease identification. Early disease …
approaches are gaining interest in robust plant disease identification. Early disease …
OSC-CO2: coattention and cosegmentation framework for plant state change with multiple features
Cosegmentation and coattention are extensions of traditional segmentation methods aimed
at detecting a common object (or objects) in a group of images. Current cosegmentation and …
at detecting a common object (or objects) in a group of images. Current cosegmentation and …
Adapting the Segment Anything Model During Usage in Novel Situations
The interactive segmentation task consists in the creation of object segmentation masks
based on user interactions. The most common way to guide a model towards producing a …
based on user interactions. The most common way to guide a model towards producing a …
Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms
Agricultural robots have the potential to improve the efficiency and sustainability of existing
agricultural practices. Most autonomous agricultural robots rely on machine vision systems …
agricultural practices. Most autonomous agricultural robots rely on machine vision systems …
High-throughput soybean pods high-quality segmentation and seed-per-pod estimation for soybean plant breeding
S Yang, L Zheng, T Wu, S Sun, M Zhang, M Li… - … Applications of Artificial …, 2024 - Elsevier
Accurately identifying soybean pods is a crucial prerequisite for retrieving multi-phenotypic
traits (such as number of pods per plant, number of seeds per pod, pod size, pod color, and …
traits (such as number of pods per plant, number of seeds per pod, pod size, pod color, and …