Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Crop Yield Prediction"”.
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Applications of Machine Learning in Apple Crop Yield Prediction
… of machine learning techniques to predict yield in the apple industry. Crop yield prediction is important because it impacts resource and capacity planning. It is, however, challenging because yield is affected by multiple interrelated factors such as climate conditions and orchard …
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Using Remote Sensing and Machine Learning to Improve County-Level Crop Yield Prediction in the Us Corn Belt
… detailed and timely information about potential crop yield. Therefore, accurate and timely crop yield prediction is crucial, as it provides essential insights to the stakeholders. Consequently, large-scale crop yield prediction has recently garnered considerable attention. Despite the …
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Adapting Transformer Encoder Architecture for Continuous Weather Datasets with Applications in Agriculture, Epidemiology and Climate Science
… small datasets, which is a bottleneck for many prediction tasks in agriculture, epidemiology, and climate science. Leveraging a novel pretraining dataset composed of 39 years of satellite measurements across the Americas, WeatherFormer achieves state-of-the-art performance in crop yield …
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Supervised and self-supervised deep learning approaches for weed identification and soybean yield prediction
… for an innovative solution to weed detection and crop yield prediction. The study focuses on key weed species: Italian ryegrass in wheat, Palmer amaranth, and common ragweed in soybean, which are troublesome weeds in the United States. One of the most innovative components of this research is the …
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Generalizing yield prediction approaches and evaluating the common factors influencing the models
Accurate crop yield prediction is one of the key areas in precision agriculture and it has been explored since the 1970s. This study integrates insights from three chapters, including a literature review and two experimental studies. These are used to evaluate how spatial resolution, the proximity …
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A tripartite study on Bayesian estimation of photosynthetically active radiation, impacts of future climate, and adaptation strategies on crop production: a spatial model framework for the Eastern Kansas River Basin
… adaptation strategies on rainfed and irrigated cropping systems in the Eastern Kansas River Basin (EKSRB; a historically wetter portion of the Great Plains) have not been well-reported. While there are regional-to-global scale climate impact analyses, they rarely provide insights into management …