Aneesh Chauhan

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Research Output 2004 2020

10 Conference paper
6 Article
3 Abstract
1 Report

KB DDHT project 8: Non-destructive and non-invasive sensor technologies in food supply chains : project deliverables 1.1-1.4

Bouzembrak, Y., Chauhan, A., Daniels, F., Gavai, A., Gonzalez Rojas, J., Kamphuis, C., Marvin, H., Meesters, L., Mishra, P., Mueller-Maatsch, J., Ouweltjes, W., Paillert, M., Petie, R., Petropoulou, A., Plantenga, F., Rijgersberg, H., Top, J., Tsafaras, I., Ummels, M., van Breukelen, A. & 1 others, Weesepoel, Y., Jan 2020, Wageningen: Wageningen Food & Biobased Research. 60 p. (Wageningen Food & Biobased Research report; no. 2017)

Research output: Book/Report › Report › Professional

Open Access

Food supply

Supply chains

Sensors

Nutrition

Data acquisition

A case study on prediction of sensitivity of tomato sepals to fungal infection using hyperspectral imaging

Chauhan, A., El Harchioui, N., Hogeveen-van Echtelt, E., Mensink, M. G. J., Brdar, S., Panic, M. & Grbovic, Z., 27 Jul 2019, Book of Abstracts European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) 2019. EFITA, p. 42-42 1 p.

Research output: Chapter in Book/Report/Conference proceeding › Abstract › Academic

prediction

infection

Deep learning based plant part detection

Chauhan, A., Afonso, M. V. & Barth, R., 27 Jul 2019, Book of Abstracts European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) 2019. EFITA, p. 40-40 1 p.

Research output: Chapter in Book/Report/Conference proceeding › Abstract

Deep learning

Plant disease detection based on multispectral and hyperspectral image analysis using deep learning techniques

Chauhan, A., Polder, G. & de Villiers, H. A. C., 27 Jul 2019, Book of Abstracts European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) 2019. EFITA, p. 37-37 1 p.

Research output: Chapter in Book/Report/Conference proceeding › Abstract › Academic

3 Citations (Scopus)

The Power Line Inspection Software (PoLIS): A versatile system for automating power line inspection

Martinez, C., Sampedro, C., Chauhan, A., Collumeau, J. F. & Campoy, P., May 2018, In : Engineering applications of artificial intelligence. 71, p. 293-314 22 p.

Research output: Contribution to journal › Article › Academic › peer-review

Inspection

Electric towers

Towers

Graphical user interfaces

Power transmission