A5027599314- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Smart Agriculture and AI
- Land Use and Ecosystem Services
- Plant Water Relations and Carbon Dynamics
- Climate change impacts on agriculture
- Bioenergy crop production and management
- Plant responses to elevated CO2
- Greenhouse Technology and Climate Control
- Soil Carbon and Nitrogen Dynamics
- Forest Biomass Utilization and Management
- Water-Energy-Food Nexus Studies
- Biofuel production and bioconversion
- Soil and Water Nutrient Dynamics
- Thermochemical Biomass Conversion Processes
- Crop Yield and Soil Fertility
- Soil Geostatistics and Mapping
- Agronomic Practices and Intercropping Systems
- Climate variability and models
- Soil erosion and sediment transport
- Marine and coastal ecosystems
- Fire effects on ecosystems
- Hydrology and Sediment Transport Processes
- Urban Heat Island Mitigation
- Environmental Impact and Sustainability
The Ohio State University
2016-2025
Tribhuvan University
2024
Institute of Agriculture and Animal Science
2014-2018
University of Wisconsin–Madison
2011-2013
Iowa State University
2010
Remote sensing (RS) technologies provide a diagnostic tool that can serve as an early warning system, allowing the agricultural community to intervene on counter potential problems before they spread widely and negatively impact crop productivity. With recent advancements in sensor technologies, data management analytics, currently, several RS options are available community. However, sector is yet implement fully due knowledge gaps their sufficiency, appropriateness techno-economic...
Hydrothermal carbonization (HTC) is a promising technology for wet manure treatment by converting animal into valuable fuels, materials, and chemicals. Among other HTC process parameters, the temperature influences products most. As various manures have different compositions, it not certain how hydrochar liquid. To evaluate temperature’s effect on HTC, three (poultry, swine, dairy) were hydrothermally carbonized at temperatures (180, 220, 260 °C), solid liquid characterized their...
Harmful algal blooms (HABs) threaten lake ecosystems and public health. Early HAB detection is possible by monitoring chlorophyll-a (Chl-a) concentration. Ground-based Chl-a data have limited spatial temporal coverage but can be geo-registered with temporally coincident satellite imagery to calibrate a remote sensing-based predictive model for regional mapping over time. When matching ground data, positional discrepancies are unavoidable due particularly dynamic surfaces, thereby biasing the...
Unmanned aerial systems (UAS) are increasingly used in precision agriculture to collect crop health related data. UAS can capture data more often and cost-effectively than sending human scouts into the field. However, large fields, flight time, hence collection, is limited by battery life. In a conventional approach, operators required exchange depleted batteries many times, which be costly time consuming. this study, we developed novel, fully autonomous scouting approach that preserves life...
Cyanobacterial harmful algal blooms release toxins and form thick blanket layers on the water surface causing widespread problems, including serious threats to human health, ecosystem, economics, recreation. To identify potential drivers for bloom, there is a need extensive observations of sources with bloom occurrences. However, traditional methods monitoring sources, such as collection point ground samples, have proven limited due spatial temporal variability resources, cost associated...
Abstract Torrefaction of biomass early in the supply chain is one method enhancing or preservin quality during storage; reducing storage and transportation costs; attaining uniformity among different feedstock types; meeting biorefineries' quantity demands for a cost effective sustainable manner. The main objectives this study were to analyze mass energy balance, assess techno‐economic feasibility production‐scale torrefaction system, quantify sensitivity results changes initial moisture...
Precision agriculture examines crop fields, gathers data, analyzes health and informs field management. This data driven approach can reduce fertilizer runoff, prevent disease increase yield. Frequent collection improves outcomes, but also increases operating costs. Fully autonomous aerial systems (FAAS) capture detailed images of fields without human intervention. They costs significantly. However, FAAS software must embed agricultural expertise to decide where fly, which when land. paper...
Cover cropping is a conservation practice that helps to alleviate soil health problems and reduce nutrient losses. Understanding the spatial variability in historic current adoption of cover practices their impacts on soil, water, dynamics at landscape scale an important step determining prioritizing areas watershed effectively utilize this practice. However, such data are lacking. Our objective was develop temporal inventory winter Maumee River using images collected by Landsat satellites...
Introduction Advancements in machine learning (ML) algorithms that make predictions from data without being explicitly programmed and the increased computational speeds of graphics processing units (GPUs) over last decade have led to remarkable progress capabilities ML. In many fields, including agriculture, this has outpaced availability sufficiently diverse high-quality datasets, which now serve as a limiting factor. While agricultural use cases appear feasible with current compute...
Abstract This study assesses the potential of using multispectral images collected by an unmanned aerial system (UAS) on machine learning (ML) frameworks to estimate cereal rye ( Secale L.) biomass. Multispectral and ground-truth biomass data were from 15 farmers’ fields up three times between March May in northwest Ohio. Images processed derive 13 vegetation indices (VIs). Out VIs, six optimal sets including excess green (ExG), normalized red difference index (NGRDI), soil adjusted (SAVI),...
Corn stover is the primary feedstock choice of first generation cellulosic biorefineries in Midwestern US due to its abundance region. The technically sound, economic and environment-friendly supply system this inevitable for commercial success proliferation these biorefineries. Such systems involve different aspects production, harvesting, collection, handling, transportation, storage preprocessing. This review discusses environmental concerns collection biofuels provides an update on...
Techno-ecologically synergistic designs of the food–energy–water-waste nexus can be better than conventional techno-centric while meeting ecological and societal needs.
Pennycress grain has a relatively high oil content (25–36%) and it is considered desirable feedstock to produce sustainable aviation fuel (SAF). crop can be integrated into the corn–soybean rotation as winter cover in midwestern U.S. provide both ecosystem services economic benefits for farmers, while serving promising SAF production. For pennycress-based biorefineries established at commercial scale, design of supply system required reliable information on availability optimal facility...
Abstract Large‐scale conversion of traditional agricultural cropping systems to biofuel is predicted have significant impact on the hydrologic cycle. Changes in cycle lead changes rainfall and its erosive power, consequently soil erosion that will onsite impacts quality crop productivity, offsite water quantity. We examine regional change erosivity resulting from policy‐induced land use/land cover ( LULC ) change. Regional climate simulated under current scenarios for period 1979–2004 using...
Abstract Grain size assessments are necessary for understanding the various geomorphological, hydrological and ecological processes that occur within rivers. Recent research has shown application of Structure‐from‐Motion (SfM) photogrammetry to imagery from uncrewed aerial vehicles (UAVs) shows promise rapidly characterising grain sizes along rivers in comparison traditional field‐based methods. Here, we evaluated applicability different methods estimating gravel bars a study reach Olentangy...