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Manufacturing Low-Density Particleboards from Wheat Straw and Distiller's Dried Grains with Solubles
(North Dakota State University, 2021)
Agricultural byproducts like wheat straw and distillers dried grains with solubles (DDGS) have not found a good market in the wood composite industry. Utilizing DDGS for particleboard in addition to using it as feed will ...
Increased Oil Recovery from Distillers Dried Grains with Solubles and Whole Stillage
(North Dakota State University, 2020)
Finding a viable method to recover oil from the corn ethanol industry's co-products has considerable economic prospects for ethanol bio-refineries. This study examined the effects of enzymes and ethanol on oil recovery ...
Characterization of Biochar from Different Feedstocks under Low and High Temperature and Their Effects on Greenhouse Gas Emission and Ammonia Volatilazation from Soil Incubation
(North Dakota State University, 2020)
Biochar is a potential soil amendment that likely to reduce GHG emissions from land application to soil, but their properties depend on biomass types and pyrolysis temperature. In this study, biochars were produced from ...
Using Prescription Maps for In Field Evaluation of Parameters Affecting Spraying Accuracy of a Self-Propelled Sprayer
(North Dakota State University, 2021)
Advanced sprayer control systems aim to improve accuracy and reduce waste in spray application. The objective of this study was to determine an optimum prescription map cell size/resolution that is compatible with current ...
Machine Vision Methods for Evaluating Plant Stand Count and Weed Classification Using Open-Source Platforms
(North Dakota State University, 2021)
Evaluating plant stand count or classifying weeds by manual scouting is time-consuming, laborious, and subject to human errors. Proximal remote sensed imagery used in conjunction with machine vision algorithms can be used ...
Implementing High-Throughput Phenotyping at the NDSU Dry Bean (Phaseolus vulgaris l.) Breeding Program Using Unmanned Aerial Systems
(North Dakota State University, 2021)
Plant breeding has led to considerable yield gains to several crops. However, it alone might not be able to keep up with the growing demand for food. In this study, data extracted from UAS-collected RGB and multispectral ...
Using UAS Images to Remotely Estimate Soil Moisture Content in the Red River Valley
(North Dakota State University, 2021)
Accurate measurements of soil moisture in a timely manner are necessary in making critical management decisions, but it is often very difficult to obtain. Even though soil moisture can be measured on the ground using various ...
Palmer Amaranth (Amaranthus palmeri S. Watson) Identification Using Hyperspectral Imaging Technology
(North Dakota State University, 2020)
Palmer amaranth is a troublesome weed in modern day agriculture. Timely identification, along with adoption of site-specific weed management practices, will enable farmers to reduce Palmer amaranth control costs and improve ...
A Field Study on LiDAR Sensor for Unmanned Ground Vehicle Navigation Application in Precision Agriculture
(North Dakota State University, 2022)
LiDAR sensor’s mapping and detection abilities make these sensors an important tool for research on navigation and object detection for robots and vehicles. This study used a ground robot and LiDAR sensor to collect ...
Using UAS Imagery and Computer Vision to Support Site-Specific Weed Control in Corn
(North Dakota State University, 2022)
Currently, a blanket application of herbicides across the field without considering the spatial distribution of weeds is the most used method to control weeds in corn. Unmanned aerial systems (UASs) can provide high spatial ...