State-of-the-art Deep Learning Algorithms for Internet of Things-based Detection of Crop Pests and Diseases: A Comprehensive Review

JP Nyakuri, C Nkundineza, O Gatera… - IEEE …, 2024 - ieeexplore.ieee.org
Plant pest and disease management, especially in the early stages of infestation, is a critical
challenge that poses significant threats and has potential to devastate agricultural crops …

An Agile Product Design in a Smart City Context: A Use Case for Air Pollution Awareness

J Díaz, O Ancán - International Conference on Human-Computer …, 2020 - Springer
The rise of systems for smart cities has led to an increase in the incorporation of air quality
monitoring and alert systems. However, evidence on the real impact of these initiatives on …

[PDF][PDF] Pest Detection in Crop using Video and Image Processing

MD Chodey, SC Noorillah, G Shetty - Int. J. Res. Appl. Sci. Eng …, 2020 - researchgate.net
Detection of pests of various species is one of the compelling tasks in pest management
involving detection and classification which is much more difficult than common object …

Intelliagric: An Intelligent, Integrated Farm Assistant

TR Alfaneti, BP Choto - 2024 - air.ashesi.edu.gh
The agricultural sector faces significant pressure to increase food production and efficiency
due to a growing global population and climate change. The global population increase …

Designing army worm insect detection and classification model using deep convolution neural network

S Aychew - 2020 - ir.bdu.edu.et
A significant amount of crop yield is being lost due to insect pests attack annually. The
problem becomes sever in developing agrarian countries like Ethiopia. Insect identification …

Crop conditions monitoring using IOT and transfer learning: Case study Maize in Rwanda

MG Mujawamariya - 2021 - dr.ur.ac.rw
Food insecurity is a huge problem that is affecting countries under development particularly
in sub-Saharan Africa. The ability to collect data with high resolution and field wide in …