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Using Deep Neural Networks To Analyze Precision Agriculture Data, Stephanie Liebl
Using Deep Neural Networks To Analyze Precision Agriculture Data, Stephanie Liebl
Electronic Theses and Dissertations
As the population of the Earth increases, there is a growing need for food to feed the inhabitants. Precision agriculture offers techniques and tools that can be used to help accommodate the growing population. One specific precision agriculture tool is remote sensing data, which can be used to image fields as an effort to better predict or understand the crops. In this thesis, deep neural networks are used to evaluate various spatial, spectral, and temporal resolutions of three different satellite images to determine which best predicts corn yield. The main metrics we used to evaluate the models were R-squared (R2), …
Interrogating The Socio-Ethical Dilemmas Of Precision Agriculture Technologies, Ayorinde Ogunyiola
Interrogating The Socio-Ethical Dilemmas Of Precision Agriculture Technologies, Ayorinde Ogunyiola
Electronic Theses and Dissertations
Farming has moved into a digital age where data and information are available to farmers to make informed agronomic and financial on-farm decisions. The development of precision agriculture (PA), such as big data technologies and machine learning algorithms is transforming the agricultural food production system in diverse ways, economically, environmentally, and socially. Despite benefits afforded by PA to agricultural productivity and environmental sustainability, these technologies can raise unintended societal challenges that can also limit their adoption among farmers. PA is changing how farming is done, reconstructing farmers’ social identities, and influencing relationships between farmers, agronomists, and technology developers. This dissertation …