Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Publication
- Publication Type
Articles 1 - 4 of 4
Full-Text Articles in Engineering
Remote Crop Disease Detection Using Deep Learning With Iot, Ivy Chung, Anoushka Gupta
Remote Crop Disease Detection Using Deep Learning With Iot, Ivy Chung, Anoushka Gupta
Electrical and Computer Engineering Senior Theses
Agriculture is such a vital part of our society, and according to the United Nations’ Food and Agricultural Organization (FAO), plant diseases are considered one of the two main causes of decreasing food availability. This paper explores not only the methods and findings of building a CNN-based disease detection model, but that of building a deployable remote crop disease detection system incorporating IoT technology. By using transfer learning with AlexNet, we were able to predict with 89.8% accuracy tomato plant images into one of the ten pre-defined disease classes. Our proposed system tracks plant health throughout the day by using …
Towards Smallholder Food And Water Security: Climate Variability In The Context Of Multiple Livelihood Hazards In Nicaragua, Christopher M. Bacon, William A. Sundstrom, Iris Stewart-Frey, Edwin P. Maurer, Lisa C. Kelley
Towards Smallholder Food And Water Security: Climate Variability In The Context Of Multiple Livelihood Hazards In Nicaragua, Christopher M. Bacon, William A. Sundstrom, Iris Stewart-Frey, Edwin P. Maurer, Lisa C. Kelley
Environmental Studies and Sciences
Climate variability and change affect both food and water security, as do other hazards, such as shifting food prices, plant pathogens, and political economic changes. Although household food and water insecurity affect billions, most studies analyze them separately. This article develops a relational approach to explaining household access to food and water in a multi-hazard context. We identify pathways linking hazards to livelihood vulnerability and assess the relative importance of climate-related hazards. Analyzing longitudinal data collected from two surveys of the same 311 smallholder households in northern Nicaragua, conducted in 2014 and again in 2017, we find that peak seasons …
Using A Gridded Global Dataset To Characterize Regional Hydroclimate In Central Chile, E.M.C. Demaria, Edwin P. Maurer, J. Sheffield, E. Bustos, D. Poblete, S. Vicuña, F. Meza
Using A Gridded Global Dataset To Characterize Regional Hydroclimate In Central Chile, E.M.C. Demaria, Edwin P. Maurer, J. Sheffield, E. Bustos, D. Poblete, S. Vicuña, F. Meza
Civil, Environmental and Sustainable Engineering
Central Chile is facing dramatic projections of climate change, with a consensus for declining precipitation, negatively affecting hydropower generation and irrigated agriculture. Rising from sea level to 6000 m within a distance of 200 km, precipitation characterization is difficult because of a lack of long-term observations, especially at higher elevations. For understanding current mean and extreme conditions and recent hydroclimatological change, as well as to provide a baseline for downscaling climate model projections, a temporally and spatially complete dataset of daily meteorology is essential. The authors use a gridded global daily meteorological dataset at 0.25° resolution for the period 1948–2008, …
Climate Change Impacts On Water Demand And Salinity In California's Irrigated Agriculture, Gerrit Schoups, Edwin P. Maurer, Jan Hopmans
Climate Change Impacts On Water Demand And Salinity In California's Irrigated Agriculture, Gerrit Schoups, Edwin P. Maurer, Jan Hopmans
Civil, Environmental and Sustainable Engineering
This paper examines potential regional-scale impacts of climate change on sustainability of irrigated agriculture, focusing on the western San Joaquin Valley in California. We consider potential changes in irrigation water demand and supply, and quantify impacts on the hydrologic system, soil and groundwater salinity with associated crop yield reductions. Our analysis is based on archived output from General Circulation Model (GCM) climate projections through 2100, which were downscaled to the 1,400 km2 study area. We account for uncertainty in GCM climate projections by considering two different GCM's, each using three greenhouse gas emission scenarios. Significant uncertainty in projected precipitation creates …