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 20 of 117 for “"Precision agriculture"”.
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Hyperspectral Imagery for Precision Agriculture
… The EAVI algorithm was applied to two precision farming applications---finding the temporal relationship between images and corn yield and estimating corn kernel grain quality. It was found that images from the beginning of full canopy coverage to the corn ear formation period provided …
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Smart Electronic Systems for Precision Agriculture
L'abstract è presente nell'allegato / the abstract is in the attachment
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Analysis of Precision Agriculture Datasets for on -Farm Research
"Data collected with ""Precision Agriculture"" (PA) technologies can provide new insights into soil plant relationships and how these relationships are affected by management practices. However, to analyze these datasets requires the consideration of limitations due to differential spatial scaling, …
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Precision Agriculture and Its Influence on Agrarian Decision-Making
The rapid digitalization of agriculture, including the rise of Precision Agriculture (PA) tools, reshapes farming practices, knowledge systems, and decision-making processes, prompting critical questions about the values and ethics behind how these technologies are developed, deployed, and used. …
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Deep Detection and Segmentation Models for Plant Physiology and Precision Agriculture
La Visión por Computador es un campo multidisciplinar que combina conceptos de Inteligencia Artificial, procesamiento de imágenes, percepción visual y ciencia de datos para permitir que los ordenadores comprendan y analicen contenido visual de manera similar a los humanos. En los últimos años, se …
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Yield estimation and smart harvesting for precision agriculture using deep learning
Precision agriculture is one of the fastest growing fields in recent years. In this thesis, we introduce a framework that provides farmers with a yield estimation from videos of crops and provides guided assistance for harvesting across the farm by utilizing geospatial information that is collected …
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Planning and decision support systems in the frame of precision agriculture
La conservación del medioambiente es una prioridad para las autoridades Europeas. De hecho, varios de los programas principales de investigación de la Unión Europea (UE) están orientados al estudio y monitorización de la Tierra desde diferentes ámbitos. Estas iniciativas proporcionan servicios …
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A content review of precision agriculture courses across the United States
Knowledge of what Precision Agriculture (PA) content is currently taught across the U.S. will help build a better understanding for what PA instructors should incorporate into their classes in the future. For this assessment, the University of Missouri (MU) partnered with several universities …
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Advancing Precision Agriculture Through AI and Statistical Modeling: Transforming Crop and Livestock Management
… methods to address critical challenges in agriculture and plant science, demonstrating improved predictive accuracy, enhanced understanding of hormonal signaling, and potential advancements in crop productivity and livestock management
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DEVELOPMENT OF INNOVATIVE SENSORS FOR DETECTING THE WATER STATUS OF PLANTS IN PRECISION AGRICULTURE APPLICATIONS
… of plant water status, a key parameter in precision agriculture and sustainable irrigation. The thesis is organized into three main experimental parts, each addressing a different level of plant-based monitoring, from direct leaf sensing to whole-plant motion and irrigation automation. …
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Implementing precision agriculture in the oil palm industry: a case of oil palm management system (OPAMS)
Sustainable agriculture slowly replaces the conventional agriculture practice as due to the need of having sustainable agriculture management to address mainly food scarcity issue over the world; and at a micro-level it’s advancement of technological means in order to adapt to the macro environment …
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3D SENSING APPROACHES FOR PRECISION AGRICULTURE: APPLICATIONS TO PLANT FEATURES CHARACTERIZATION AND TO WEED CONTROL IN MAIZE
… between crops and weeds for use in precision agriculture applications. Following an introductory section, the first part of the work, which corresponds to Chapters 3 and 4, involves the volumetric characterization of lettuce plants to estimate biomass using non-destructive …
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Quantitative multifactor analysis of planter settings and row unit design for corn stand establishment in precision agriculture
… effects of these variables on seed placement precision, emergence dynamics, and population uniformity under diverse field conditions in North-central Kansas, USA. Utilizing John Deere ExactEmerge™ planters equipped with standard unidirectional and experimental dual hydraulic force control …
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Remote Sensing for Precision Agriculture: Within -Field Spatial Variability Analysis and Mapping With Aerial Digital Multispectral Images
Unsupervised clustering of color infrared (CIR) image of a field soil was able to identify soil mapping units with an average accuracy of 76%. Spectral reflectance from a crop field was highly correlated to the chlorophyll reading. A regression model developed to predict nitrogen stress in corn …
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Integration Of Small Unmanned Aircraft Systems Into Precision Agriculture: Putting The Power Of Remote Sensing Into The Hands Of Farmers
… it possible for their incorporation into modern agriculture. Satellite imagery has been used in the past to increase yields and profits while simultaneously decreasing chemical use and environmental damage. However, satellite imagery has some limitations in regards to agriculture that sUAS has …
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Advancing Soil Moisture Mapping with Multi-Modal Drone Sensing and AI: Integrating GPR, Hyperspectral, and Thermal Imaging for Precision Agriculture
… at different depths is essential for sustainable agriculture, helping improve irrigation efficiency, crop productivity, and water conservation. However, conventional monitoring methods often struggle to provide reliable, scalable, and non-invasive soil moisture information, especially in vegetated …
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Fast and Accurate Image Feature Detection for On-The-Go Field Monitoring Through Precision Agriculture. Computer Predictive Modelling for Farm Image Detection and Classification with Convolution Neural Network (CNN)
… conditions. To this end, this thesis applies the Precision Agricultural technology as a data based management system that takes into account spatial variations by using the Global Positioning System, Geographical Information System, remote sensing, yield monitors, mapping, and guidance system for …
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Image-based direct geo-referencing of farm boundaries for autonomous farming vehicles using computer vision
Agriculture is undergoing a transformative technological revolution that has led to significant improvements in automation and efficiency. Although contemporary satellite imagery is limited in resolution and update frequency, it presents inherent challenges in the determination of farm boundaries. …
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