Oil recovered from dried distillers grain with solubles (DDGS) can be a high-value product over animal feed to provide an additional profit to ethanol plants currently operating at slim profit margins. Fractionations of DDGS and enzymatic hydrolysis were considered in this study to improve the oil recovery from DDGS. A combination of sieving and then air aspiration was used to separate the original DDGS into three different fractions: light, medium, and heavy. The heavier fraction had up to 24% increased oil content compared to the original DDGS. Commercial enzymes, protease, cellulase, and hemicellulase were tested separately and in combinations at 55 °C for 3 h at 130 rpm to determine their effect on oil recovery from the original and fractionated DDGS. Oil recovery was significantly improved (around 20%) following enzyme hydrolysis of the sieved aspirated heavy fractions of DDGS compared to the original DDGS. More than 90% of oil recovery was achieved by using a combination of cellulase and protease enzymes. Increasing the temperature above 55 °C without any enzyme did not impact oil recovery using the heavy-fraction DDGS. Overall, fractionation and enzymatic hydrolysis showed promise to increase oil recovery from DDGS without any current ethanol plant design changes.

Crop residue plays a crucial role in diverse areas of soil, biomass, crop yield, and the environment by impacting aspects such as soil organic matter, erosion, nutrient leaching, soil moisture and temperature, plant emergence, in turn influencing plant biomass and crop yields. Measuring crop residue coverage has been a long-term practice, primarily for monitoring purposes by agencies for various programs. More recently, increased research effort has been focused on improving the means and mechanisms of measuring and sensing crop residue efficiently and on large scales for both monitoring and improved agricultural decision-making insights. This review attempts to provide an overview of crop residue measurement and sensing, presenting a holistic review of the different measurement techniques available. It also highlights how research has shifted from field-based measurement to the use of diverse sensing approaches and future directions. Traditional methods of crop residue measurement are reviewed and the literature on more modern sensing approaches is summarized through categorization of the approaches based on sensing scale of satellite-, UAV-, and ground-based systems. Key findings highlight the growing shift toward high-resolution UAV sensing and the increasing use of machine learning models for improved classification. Identified critical challenges, particularly in satellite sensing, include spectral similarity between residue and soil, influence of moisture, and limited real-time application. The review aims to provide a summary of the current state of crop residue sensing with insights into potential areas for opportunities, especially through on-machine sensing systems, emphasizing the need for real-time, integrated, and adaptive residue coverage sensing solutions.

Crop residue plays a significant role on soil health, nutrient cycling, and crop yield, making residue management a key consideration in agricultural production. This review aims to synthesize current knowledge on two different aspects of crop residue in grain production systems: common management practices and their effects. A comprehensive literature survey was conducted using the Scopus database, covering worldwide publications from 1990 to 2025. First, this review explores various crop residue management practices, including burning, stubble retention, and different tillage methods (conservation tillage vs. conventional tillage). This section mainly focuses on tillage practices with an emphasis on the environmental, economic, and agronomic consequences of each approach. Then this review paper explores the effects of crop residue on soils and ecosystems, including the role of crop residues in improving soil quality and enhancing soil organic carbon sequestration. The interaction between crop residues and hydrological processes such as water infiltration and runoff is also examined in this section. The relationships between residue management practices and crop growth and yield responses are also critically assessed. This review highlights the shift from conventional, environmentally detrimental practices toward conservation-oriented approaches, especially reduced tillage, no tillage, and residue retention. Key knowledge gaps and research priorities are identified, particularly regarding crop residue effects on deep soil carbon sequestration, hydrology, crop growth and yields, and the lack of practical management guidelines across agroecosystems. This review provides an integrated framework to support crop residue management and guide future research in conservation agriculture.

Drainage is an important aspect of effective water management in row-crop agriculture. Drainage systems can be broadly categorized as either subsurface or surface drainage. A significant amount of design goes into subsurface drainage installations, such as tile networks, and permanent surface drainage installations, such as waterways and berms. However, many farmers also implement temporary surface drainage installations to drain localized areas within their fields each year. This practice involves creating shallow water paths, typically using spinner ditchers, and it is especially commonplace in areas with poor soil permeability. However, this practice is traditionally performed using only observations by farmers and without any data-based workflows. The objective of this study was to analyze the potential yield benefits from a more data-informed approach to surface drainage on a production row-crop farm by exploring corn and soybean yield data from 2008–2021 from two fields where a data-informed approach to surface drainage was implemented. Field topography and drainage information were combined with yield maps from prior years with traditional ad hoc drainage and the years following the incorporation of the data-informed approach to better understand the impact of the workflow. Geospatial distribution of the average normalized crop yields and elevation maps for the fields were analyzed to isolate the yield impacts of the areas affected by the data-informed on-farm surface drainage artifacts. In the years after implementation of the data-informed surface drainage approach, Field 1 and Field 2 showed respective increases of 18.3% and 13.9% in average corn yields. Further analysis isolating three areas affected by the surface drainage using topography and drainage layout showed that all three isolated areas improved more than the field averages, ranging from 15.9–26.5% for Field 1 and 21.4–40.2% for Field 2. Similarly, soybean yields were also higher in the isolated affected areas after the data-informed drainage ditch construction. The findings highlight the effectiveness of data-informed on-farm surface drainage, a relatively straightforward approach that proved beneficial for both soybean and corn production.