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Browsing by Author "Simms, Daniel M."

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Adaptive vibration condition monitoring technology for local tooth damage in gearboxes.

Gelman, Leonid; Zimroz, R; Birkel, J; Leigh-Firbank, H; Simms, Daniel M.; Waterland, B; Whitehurst, G (Learned and Professional Society Publishers, 2005-08-01)

An adaptive approach was applied for local tooth damage diagnostics in gearboxes. The expediency of adaptation was proved experimentally for the new diagnostic feature, the sum of normalized sideband amplitudes. The ...
The application of time-series MODIS NDVI profiles for the acquisition of crop information across Afghanistan

Simms, Daniel M.; Waine, Toby W.; Taylor, John C.; Juniper, Graham R. (Taylor and Francis, 2014-08-26)

We investigated and developed a prototype crop information system integrating 250 m Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data with other available remotely ...
Fully convolutional neural nets in-the-wild

Simms, Daniel M. (Taylor and Francies, 2020-10-20)

The ground breaking performance of fully convolutional neural nets (FCNs) for semantic segmentation tasks has yet to be achieved for landcover classification, partly because a lack of suitable training data. Here the FCN8 ...
Image segmentation for improved consistency in image-interpretation of opium poppy

Simms, Daniel M.; Waine, Toby W.; Taylor, John C.; Brewer, Timothy R. (Taylor and Francis, 2016-02-18)

The image-interpretation of opium poppy crops from very high resolution satellite imagery forms part of the annual Afghanistan opium surveys conducted by the United Nations Office on Drugs and Crime and the United States ...
Improved estimates of opium cultivation in Afghanistan using imagery-based stratification

Simms, Daniel M.; Waine, Toby W.; Taylor, John C. (Taylor and Francis, 2017-03-30)

The United Nations O ce on Drugs and Crime and the US Government make extensive use of remote sensing to quantify and monitor trends in Afghanistans illicit opium production. Cultivation gures from their independent ...
An integrated approach to control and manage potato black dot disease: a review

Sanzo-Miró, Marta; Simms, Daniel M.; Rezwan, Faisal I.; Terry, Leon A.; Alamar, M. Carmen (Springer, 2023-09-15)

Potato black dot is a foliar and tuber blemish disease that has become an increasingly economic problem in recent years. Black dot is caused by the fungus Colletotrichum coccodes and is characterised by silver/brown lesions ...
Machine learning methods for automatic segmentation of images of field-and glasshouse-based plants for high-throughput phenotyping

Okyere, Frank Gyan; Cudjoe, Daniel M.; Sadeghi-Tehran, Pouria; Virlet, Nicolas; Riche, Andrew B.; Castle, March; Greche, Latifa; Mohare, Fady; Simms, Daniel M.; Mhada, Manal; Hawkesford, Malcolm John (MDPI, 2023-05-19)

Image segmentation is a fundamental but critical step for achieving automated high- throughput phenotyping. While conventional segmentation methods perform well in homogenous environments, the performance decreases when ...
Mapping agricultural land in Afghanistan’s opium provinces using a generalised deep learning model and medium resolution satellite imagery

Simms, Daniel M.; Hamer, Alex M.; Zeiler, Irmgard; Vita, Lorenzo; Waine, Toby W. (MDPI, 2023-09-26)

Understanding the relationship between land use and opium production is critical for monitoring the dynamics of poppy cultivation and developing an effective counter narcotics policy in Afghanistan. However, mapping ...
Mapping agricultural land in support of opium monitoring in Afghanistan with Convolutional Neural Networks (CNNs).

Hamer, Alex Matthew (Cranfield UniversitySWEE, 2021-12)

This work investigates the use of advanced image classification techniques for improving the accuracy and efficiency in determining agricultural areas from satellite images. The United Nations Office on Drugs and Crime ...
Mapping the expansion of galamsey gold mines in the cocoa growing area of Ghana using optical remote sensing

Snapir, Boris; Simms, Daniel M.; Waine, Toby W. (Elsevier, 2017-02-23)

Artisanal gold mining (galamsey) and cocoa farming are essential sources of income for local populations in Ghana. Unfortunately the former poses serious threats to the environment and human health, and conflicts with cocoa ...
Modeling the spatial-spectral characteristics of plants for nutrient status identification using hyperspectral data and deep learning methods

Okyere, Frank Gyan; Cudjoe, Daniel; Sadeghi-Tehran, Pouria; Virlet, Nicolas; Riche, Andrew B.; Castle, March; Greche, Latifa; Simms, Daniel M.; Mhada, Manal; Mohareb, Fady; Hawkesford, Malcolm John (Frontiers, 2023-10-16)

Sustainable fertilizer management in precision agriculture is essential for both economic and environmental reasons. To effectively manage fertilizer input, various methods are employed to monitor and track plant nutrient ...
Multi-stage semantic segmentation quantifies fragmentation of small habitats at a landscape scale

van der Plas, Thijs L.; Geikie, Simon T.; Alexander, David G.; Simms, Daniel M. (MDPI, 2023-11-07)

Land cover (LC) maps are used extensively for nature conservation and landscape planning, but low spatial resolution and coarse LC schemas typically limit their applicability to large, broadly defined habitats. In order ...
Opium yield estimates in Afghanistan using remote sensing

Simms, Daniel M.; Waine, Toby (International Institute for Sustainable Development, 2016-10-31)

Accurate estimates of opium production are essential for informing counter-narcotics policy in Afghanistan. The cultivated area of opium poppy is estimated remotely by interpretation or digital classification of very ...
Remote sensing of opium poppy cultivation in Afghanistan

Simms, Daniel M. (Cranfield University, 2016-01-04)

This work investigates differences in the survey methodologies of the monitoring programmes of the United Nations Office on Drugs and Crime (UNODC) and the US Government that lead to discrepancies in quantitative information ...
Replacing human interpretation of agricultural land in Afghanistan with a deep convolutional neural network

Hamer, A. M.; Simms, Daniel M.; Waine, Toby William (Taylor and Francis, 2021-01-18)

Afghanistan’s annual opium survey relies upon time-consuming human interpretation of satellite images to map the area of potential poppy cultivation for statistical sample design. Deep Convolutional Neural Networks (CNNs) ...
Survey and monitoring of opium poppy and wheat in Afghanistan: 2003-2009

Taylor, John C.; Waine, Toby W.; Juniper, Graham R.; Simms, Daniel M.; Brewer, Timothy R. (2010-04-01)

An integrated application of remote-sensing technology was devised and applied in Afghanistan during 2003–2009 providing critical information on cereal and poppy cultivation and poppy eradication. The results influenced ...
Towards improving the accuracy of opium yield estimates with remote sensing

Waine, Toby W.; Simms, Daniel M.; Taylor, John C.; Juniper, Graham R. (Taylor and Francis, 2014-08-28)

Yearly estimates of illicit opium production are key metrics for assessing the effectiveness of the counter-narcotics policy in Afghanistan. Poor security often prevents access to sample locations and puts pressure on field ...
Using Near-Surface Photogrammetry Assessment of Surface Roughness (NSPAS) to assess the effectiveness of erosion control treatments applied to slope forming materials from a mine site in West Africa

Campbell, Stephanie; Simmons, Robert W.; Rickson, R. Jane; Waine, Toby; Simms, Daniel M. (Elsevier, 2018-08-30)

Geo-spatial studies are increasingly using photogrammetry technology because the cost of the equipment is becoming cheaper, the techniques are accessible to non-experts and can generate better quality topographic data than ...
Vegetation cover dynamics along two Himalayan rivers: drivers and implications of change

Beale, John; Grabowski, Robert C.; Lokidor, Pauline Long'or; Vercruysse, Kim; Simms, Daniel M. (Elsevier, 2022-08-18)

Rivers are dynamic landscape features that change in response to natural and anthropogenic factors through hydrological, geomorphic and ecological processes. The severity and magnitude of human impacts on river system and ...

Browsing by Author "Simms, Daniel M."

Browsing by Author "Simms, Daniel M."

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