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- Ability to pay (1)
- Adaboost cnn optimisation (1)
- COVID-19 pandemic (1)
- Cattle farming (1)
- Convolutional neural networks (1)
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- Developing country (1)
- Economic point of view (1)
- Food safety (1)
- Formal water supply system (1)
- Fruit and vegetables classification (1)
- HOMER (1)
- Houshold (1)
- Hybrid system (1)
- Image classification (1)
- Progressive classification (1)
- Smallholder (1)
- Supermarket self-checkouts (1)
- Sustainability (1)
- Thin-film coating (1)
- Water use (1)
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Articles 1 - 3 of 3
Full-Text Articles in Business
Household’S Willingness (Wtp) To Pay To The Utility, Rakhshinda Bano, Mehdi Khiadani, Steven Burian
Household’S Willingness (Wtp) To Pay To The Utility, Rakhshinda Bano, Mehdi Khiadani, Steven Burian
Research Datasets
The dataset contains the water use at household level, payments to the utility and household income.
A Sample Weight And Adaboost Cnn-Based Coarse To Fine Classification Of Fruit And Vegetables At A Supermarket Self-Checkout, Khurram Hameed, Douglas Chai, Alexander Rassau
A Sample Weight And Adaboost Cnn-Based Coarse To Fine Classification Of Fruit And Vegetables At A Supermarket Self-Checkout, Khurram Hameed, Douglas Chai, Alexander Rassau
Research outputs 2014 to 2021
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. The physical features of fruit and vegetables make the task of vision-based classification of fruit and vegetables challenging. The classification of fruit and vegetables at a supermarket self-checkout poses even more challenges due to variable lighting conditions and human factors arising from customer interactions with the system along with the challenges associated with the colour, texture, shape, and size of a fruit or vegetable. Considering this complex application, we have proposed a progressive coarse to fine classification technique to classify fruit and vegetables at supermarket checkouts. The image and weight of …
Energy Engineering Approach For Rural Areas Cattle Farmers In Bangladesh To Reduce Covid-19 Impact On Food Safety, Mohammad Nur-E-Alam, Mohammad Nasirul Hoque, Soyed Mohiuddin Ahmed, Mohammad Khairul Basher, Narottam Das
Energy Engineering Approach For Rural Areas Cattle Farmers In Bangladesh To Reduce Covid-19 Impact On Food Safety, Mohammad Nur-E-Alam, Mohammad Nasirul Hoque, Soyed Mohiuddin Ahmed, Mohammad Khairul Basher, Narottam Das
Research outputs 2014 to 2021
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This paper reports on the optimization of thin-film coating-assisted, self-sustainable, off-grid hybrid power generation systems for cattle farming in rural areas of Bangladesh. Bangladesh is a lower middle-income country with declining rates of poverty among its 160 million people due to persistent economic growth in conjunction with balanced agricultural improvements. Most of the rural households adopt a mixed farming system by cultivating crops and simultaneously rearing livestock. Among the animals raised, cattle are considered as the most valuable asset for the small-/medium-scale farmers in terms of their meat and milk production. …