Artificial intelligence-powered multiclass deep learning model for detection of aflatoxin related defects in Ugandan groundnuts

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Aflatoxin contamination poses a persistent challenge to groundnut value chains in sub-Saharan Africa, where conventional laboratory-based detection methods are costly, time-consuming, and often inaccessible to smallholder farmers. This studypresents an…

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State of ICT4Agriculture in Uganda – Report

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It is well documented that in Uganda, agriculture employs over 70% of the population, of which, the majority are youth and women. Also, a number of studies show that both locally and internationally, ICT has positively impacted agriculture by addressing a number of bottlenecks along the agriculture value chain. Nevertheless, while the ICT sector is rapidly growing in Uganda, there are limited studies which have documented the state of ICT4Agric, which creates weaknesses in advocating for policy and investment frameworks for the sector.

The lack of a clear understanding of the innovations and trends in ICT4Agric has in turn constrained effectiveness of government interventions, often times resulting into government procuring solutions which would be scaled up from locally developed innovations. Moreover, in many cases, the different technological advancements are not synchronized and hence causing a lot of duplication in terms of ICT interventions being made within the sector.

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A Portable Plant Physiological Feature Image Processing Technique for Groundnuts Rosette Disease Diagnosis

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Agriculture is the backbone of most economies in Africa,including Uganda,and groundnut is one of the five most important oil seeds produced in the world and in Uganda.The crop plays a critical role in the food and nutrition security of both animals and humans. The optimal production of the crop is challenged by several factors,including limited access to quality seed, limited access to quality extension service, poor management of pests and diseases, and weak farm records management,among others. The crop is susceptible to many diseases, causing a decline in productivity and quality, all of which affect the agricultural economy. T

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