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 11 of 11 for “"smart farming"”.
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An autonomous decision support system for smart farming to increase crop productivity
… all cause many agricultural problems. The farming industry needs to invest in new technologies and infrastructure to transform into an innovative industry capable of responding to these challenges through agile processes supported by industrial digital technologies, thereby maintaining …
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An efficient model for latency optimisation for 5G-enabled IoT applications in smart farming
… especially those essential for latency-sensitive smart farming applications. The data generated by IoT devices such as sensors, cameras, and actuators in intelligent farming applications are growing exponentially. Traditional methods of processing and storing IoT data usually include cloud data …
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Advancement of fiber image guide based snapshot imaging spectrometer technology for bioimaging and environmental applications
… such as but not limited to biomedical imaging, smart farming, environmental monitoring, and remote sensing. Key to monitoring dynamic events is fast, snapshot acquisition of the hyperspectral datacube and then quick turnaround of raw data into decipherable hyperspectral images and spectra. …
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Corn Yield Prediction Using Crop Growth and Machine Learning Models
… these developments emerged the novel concept of smart farming. In this context, sensor nodes are used in farms to help farmers acquire a deeper insight into the environmental factors affecting their productivity. In recent years, we have witnessed an emerging trend of scholarly literature focused …
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Intelligent orchestration of computation and networking for drone swarm applications
… (e.g., disaster response management, smart farming, traffic control). This requires sensor localization and access to edge computation and networking resources to provide environmental situational awareness in the applications. Orchestration of the computation and networking resources …
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Applications of Machine Learning in Apple Crop Yield Prediction
… by including research in the following domains: smart farming, machine learning, apple crop management and crop yield prediction. The models are built using apple production data and environmental factors, with the modelled yield measured in metric tonnes per hectare. The results show that the …
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Use of Nutrition and Precision Technology to Improve Health, Performance, and Alleviate Stress of Beef Cattle
… reduction was transient; and 4) following the smart farming approach, validate the use of an automated scale system for grazing or feedlot beef cattle, which was able to accurately measures body weight in grazing and feedlot systems for growing and mature beef cattle while reducing cattle …
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EnogisAI: An Artificial Intelligence Framework for Predictive Agronomics
… the growing population is a critical challenge. Smart farming technologies combined with artificial intelligence (AI) represent an opportunity to improve crop quality and yield while efficiently and sustainably using the available planetary resources. This thesis describes EnogisAI: a …
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How can smart technologies be applied by smallholder farmers for increased productivity and sustained livelihoods?
… Africa most severely. The use of innovative farming techniques and technology has proven to accelerate the production yields and improve resilience to vulnerabilities which impact agricultural productivity. The use of smart technologies in farming is mainly present among largescale commercial …
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Examining Rural Landscape Change Driven by the Digitalisation of Agriculture
L'abstract è presente nell'allegato / the abstract is in the attachment
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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)
… for an intensive, yet environmentally safe farming production to preserve the natural environment. First, field research was conducted to determine the extent of the problems faced by farmers in agricultural production. This allowed us to refine the research statement and the level of …