A5017894280- Forest Biomass Utilization and Management
- Biofuel production and bioconversion
- Smart Agriculture and AI
- Bioenergy crop production and management
- Agricultural Engineering and Mechanization
- Spectroscopy and Chemometric Analyses
- Leaf Properties and Growth Measurement
- Remote Sensing in Agriculture
- Food Drying and Modeling
- Thermochemical Biomass Conversion Processes
- Soil Mechanics and Vehicle Dynamics
- Mineral Processing and Grinding
- Crop Yield and Soil Fertility
- Remote Sensing and LiDAR Applications
- Minerals Flotation and Separation Techniques
- Greenhouse Technology and Climate Control
- Date Palm Research Studies
- Banana Cultivation and Research
- Rangeland and Wildlife Management
- Coal Combustion and Slurry Processing
- Anaerobic Digestion and Biogas Production
- Microencapsulation and Drying Processes
- Iron and Steelmaking Processes
- Food composition and properties
- Granular flow and fluidized beds
North Dakota State University
2016-2025
Dakota State University
2020-2023
Mississippi State University
2007-2010
University of Tennessee at Knoxville
2004-2010
University of British Columbia
2009-2010
Acharya N. G. Ranga Agricultural University
1997-2008
Oak Ridge National Laboratory
2005-2006
American Society of Agricultural and Biological Engineers
2006
The current mainstream approach of using manual measurements and visual inspections for crop lodging detection is inefficient, time-consuming, subjective. An innovative method wheat that can overcome or alleviate these shortcomings would be welcomed. This study proposed a systematic in research plots (372 experimental plots), which consisted unmanned aerial systems (UAS) imagery acquisition, field evaluation, machine learning algorithms to detect the occurrence not lodging. UAS was collected...
Mango (Mangifera indica) is an important, and popular fruit in Bangladesh. However, the post-harvest processing of it still mostly performed manually, a situation far from satisfactory, terms accuracy throughput. To automate grading mangos (geometry shape), we developed image acquisition system to extract projected area, perimeter, roundness features. In this system, images were acquired using XGA format color camera 8-bit gray levels fluorescent lighting. An algorithm based on region global...
Green energy generation from agricultural waste has the potential to minimize dependency on fossil and reduce resultant environmental impact of this fuel provided anaerobic reactor performance is optimized. Hence, interactive carbon nitrogen (C/N) ratio, particle size, co-digestion dairy manure (DM) corn stover (CS) solid-state digester (SSAD) was investigated with four treatments (DMCS24S, DMCS24L, DMCS28L, DMCS32L) in study. Novel scanning electron microscope (SEM) image analysis utilized...
Farmers and ranchers depend on annual forage production for grassland livestock enterprises. Many regression machine learning (ML) prediction models have been developed to understand the seasonal variability in grass production, improve management practices, adjust stocking rates. Moreover, decision support tools help farmers compare practices develop forecast scenarios. Although numerous individual studies growth, modeling, prediction, economics, related are available, these technologies...
Weed management practices strive to reduce weeds, which compete with crops for nutrients, sunlight, and water are thus important maintaining yield. In most weed practices, the first step is identify or classify weeds. However, efficient identification classification of weeds challenging using conventional manual methods such as field visits. Therefore, in this study, we propose four common corn North Dakota (common lambsquarters, purslane, horseweed, redroot pigweed), also applicable other...