activity
20192024
most citedFacilitated machine learning for image-based fruit quality assessment

98 citations · 101 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Weakly Supervised Panoptic Segmentation for Defect-Based Grading of Fresh Produce

Manuel Knott, Divinefavour Odion, Sameer Sontakke +2

Visual inspection for defect grading in agricultural supply chains is crucial but traditionally labor-intensive and error-prone. Automated computer vision methods typically require…

cs.CV2024★ 1 cited

A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification

Markus Marks, Manuel Knott, Neehar Kondapaneni +4

Self-supervised learning (SSL) is a machine learning approach where the data itself provides supervision, eliminating the need for external labels. The model is forced to learn abo…

cs.CV2023★ 1 cited

Evaluating the Role of Training Data Origin for Country-Scale Cropland Mapping in Data-Scarce Regions: A Case Study of Nigeria

Joaquin Gajardo, Michele Volpi, Daniel Onwude +1

Cropland maps are essential for remote sensing-based agricultural monitoring, providing timely insights without extensive field surveys. Machine learning enables large-scale mappin…

cs.CV2022★ 98 cited

Facilitated machine learning for image-based fruit quality assessment

Manuel Knott, Fernando Perez-Cruz, Thijs Defraeye

Image-based machine learning models can be used to make the sorting and grading of agricultural products more efficient. In many regions, implementing such systems can be difficult…

cs.CV2022★ 1 cited

Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan Region

Danya Li, Joaquin Gajardo, Michele Volpi +1

Crop maps are crucial for agricultural monitoring and food management and can additionally support domain-specific applications, such as setting cold supply chain infrastructure in…

physics.flu-dyn2019

Unveiling dynamic changes in the diurnal microclimate of a Buxus sempervirens with non-intrusive imaging of flow field, leaf temperature, and plant microstructure

Lento Manickathan, Thijs Defraeye, Stephan Carl +4

Plant response is not only dependent on the atmospheric evaporative demand due to the combined effects of wind speed, air temperature, humidity, and solar radiation, but is also de…