Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Mwebaze, Ernest"'
Multi-spectral satellite imagery provides valuable data at global scale for many environmental and socio-economic applications. Building supervised machine learning models based on these imagery, however, may require ground reference labels which are
Externí odkaz:
http://arxiv.org/abs/2012.03108
Semantic segmentation of satellite imagery is a common approach to identify patterns and detect changes around the planet. Most of the state-of-the-art semantic segmentation models are trained in a fully supervised way using Convolutional Neural Netw
Externí odkaz:
http://arxiv.org/abs/2012.03093
Effectively determining malaria parasitemia is a critical aspect in assisting clinicians to accurately determine the severity of the disease and provide quality treatment. Microscopy applied to thick smear blood smears is the de facto method for mala
Externí odkaz:
http://arxiv.org/abs/2012.01994
Autor:
Nandutu, Irene, Mwebaze, Ernest
In Uganda, Luganda is the most spoken native language. It is used for communication in informal as well as formal business transactions. The development of technology startups globally related to TTS has mainly been with languages like English, Frenc
Externí odkaz:
http://arxiv.org/abs/2005.05447
Autor:
Tusubira, Jeremy Francis, Akera, Benjamin, Nsumba, Solomon, Nakatumba-Nabende, Joyce, Mwebaze, Ernest
Cassava a major food crop in many parts of Africa, has majorly been affected by Cassava Brown Streak Disease (CBSD). The disease affects tuberous roots and presents symptoms that include a yellow/brown, dry, corky necrosis within the starch-bearing t
Externí odkaz:
http://arxiv.org/abs/2005.03367
Autor:
Kalantidis, Yannis, Sevilla-Lara, Laura, Mwebaze, Ernest, Machuve, Dina, Alemohammad, Hamed, Guerena, David
This is the proceedings of the Computer Vision for Agriculture (CV4A) Workshop that was held in conjunction with the International Conference on Learning Representations (ICLR) 2020. The Computer Vision for Agriculture (CV4A) 2020 workshop was schedu
Externí odkaz:
http://arxiv.org/abs/2004.11051
Previously, crowdsourcing experiments in surveillance of crop diseases and pest have been trialed as small scale community sensing campaigns with select cohort of smallholder farmers, extension and experts. While those pilots have demonstrated the vi
Externí odkaz:
http://arxiv.org/abs/1908.07047
In most developing countries, a huge proportion of the national food basket is supported by small subsistence agricultural systems. A major challenge to these systems is disease and pest attacks which have a devastating effect on the smallholder farm
Externí odkaz:
http://arxiv.org/abs/1908.04237
Viral diseases are major sources of poor yields for cassava, the 2nd largest provider of carbohydrates in Africa.At least 80% of small-holder farmer households in Sub-Saharan Africa grow cassava. Since many of these farmers have smart phones, they ca
Externí odkaz:
http://arxiv.org/abs/1908.02900
