Agriculture Commons^™

Would Ai Stocks Estimate Be As Surprised To Usda Stocks Reports As Private Market Analysts?, Asif Mahmud Chowdhury

Electronic Theses and Dissertations

The USDA survey-based Quarterly Agriculture Stocks (QAS) reports are the primary source of information regarding the relative supply of U.S. corn, soybeans, and wheat for the last fifty years. Research has examined USDA stock reports and their relevancy to the market (e.g., Isengildina-Massa et al., 2021). In addition, private industry analysts estimate expected quarterly grain stock reports before USDA releases them. Market information firms such as Bloomberg and Reuters publish a subset of these estimates a few days before the USDA reports. Previous research has found that when industry analysts have significant differences in stock expectations compared to what the …

Dpird Grains Research And Development (R&D) Stakeholder Update 2023, Department Of Primary Industries And Regional Development, Western Australia

Grain and other field crops published reports

The Grains R&D (Research and Development) Stakeholder Update was developed to showcase the industry-leading work delivered by the Grains Research and Industry Development team at the Department of Primary Industries and Regional Development (DPIRD) in Western Australia (WA).

Grains R&D is critical to the ongoing productivity and international competitiveness of our industry and the economic prosperity of WA. This newsletter highlights some of the vital research helping farmers grow the industry.

Trends In Maintaining Postharvest Freshness And Quality Of Rubus Berries, Hafiz Muhammad Shoaib Shah, Zora Singh, Jashanpreet Kaur, Mahmood Ul Hasan, Andrew Woodward, Eben Afrifa-Yamoah

Research outputs 2022 to 2026

Blackberries and raspberries, commonly known as Rubus berries, are commercially grown worldwide across different climates. Rubus berries contain wide array of phytochemicals, vitamins, dietary fibers, minerals, and unsaturated fatty acids. Nevertheless, these berries have short storage life which is the major constraint in their supply chains leading to higher postharvest losses. Inappropriate harvest handling, physical bruising, insect pests, and postharvest diseases lower the acceptability of fruit among consumers and other supply chain stakeholders. Additionally, the susceptibility to microbial decay, fruit softening, higher ethylene production, respiratory activity, and increased oxidation of anthocyanins, phenolics, and flavonoids considerably affects the marketability of Rubus …

Improving The Utility Of Precision Agriculture Through Machine Learning And Climate-Smart Practices, Skye Brugler

Electronic Theses and Dissertations

Climate Smart Practices are management strategies that focus on increasing soil and crop productivity, utilize site-specific strategies to increase resiliency against the effects of climate change, and mitigate these negative effects by reducing greenhouse gas (GHG) emissions. Decision Support Systems (DSSs) using machine learning (ML) can adjust models based on new information and help farmers make climate smart decisions within their operation. The 4R nutrient management model of right source, rate, location, and time also demonstrates a framework that may be considered climate smart by improving soil and crop productivity. However, when initially conceptualized, the 4R model did not consider …

Assessing How Long-Term Conservation Agricultural Practices Impact Soil Properties And Soil, Water, And Nutrient Dynamics Through Soil Profile, Ajoy Kumar Saha

Electronic Theses and Dissertations

No abstract provided.

Effect Of Foliar And Preplant Sulfur Application On Soybean Nutrient Uptake, Yield, And Seed Protein And Oil Content, Gena Ram Mahato

Electronic Theses and Dissertations

In recent years, Sulfur (S) deficiency has been observed in soybean producing regions in the US and different parts of the world. The major factors behind the frequent occurrence of S deficiency are reduced atmospheric S deposition due to strict regulations on emissions from fossil fuels, large S removal from high yielding crops, less use of fertilizers containing S, and intensive cultivation practices. To test S limitations, I conducted two independent studies from 2019 to 2021 at two locations in Eastern South Dakota to determine the effect of foliar and preplant S application on soybean. The objectives of this research …

Soil Profile Properties And Greenhouse Gas Emissions As Influenced By Long-Term Cattle Manure And Inorganic Fertilizer Applications Under Corn-Soybean-Spring Wheat Rotation In Eastern South Dakota, Anuoluwa Ojonoka Sangotayo

Electronic Theses and Dissertations

The application of manure and inorganic fertilizer in row crops may significantly influence soil and greenhouse gas (GHG) emissions. Understanding the long-term influence of these management practices on soil pore characteristics, hydro-physical properties and greenhouse gas emission is essential in developing proper conservation practices. However, there is limited information on the impact of cattle manure and inorganic fertilizer application on soil hydro-physical properties, soil pore characteristics at lower depths and surface GHGs emissions. Therefore, the objectives of this study were to; (i) utilize X-ray computed tomography (XCT) technique to quantify the impact of manure and fertilizer amendments under a corn …

Enhancing Nitrogen Use Efficiency Through Ai-Powered Image Analysis And Innovative N-Rich Spot Method, Bobby Azad

Electronic Theses and Dissertations

This study conducted in 2023 aimed to enhance nitrogen use efficiency (NUE) in wheat and corn grown in South Dakota. Based on dynamic weather conditions and other factor interactions, conventional nitrogen (N) recommendations need to be improved. Soil properties information, including electrical conductivity, was used to create management zones. In each zone, three N-rich spots were established as biosensors. Drones and satellites collected imagery data, and an AI-driven approach assessed the crop response to applied N. A dynamic N application approach, integrating aerial data with historical records, was developed and evaluated. Our methodology, at a 95% confidence level, resulted in …

Proteomic Exploration Reveals A Metabolic Rerouting Due To Low Oxygen During Controlled Germination Of Malting Barley (Hordeum Vulgare L.), Clare E. O'Lone, Angéla Juhász, Mitchell Nye-Wood, Hugh Dunn, David Moody, Jean-Philippe Ral, Michelle L. Colgrave

Research outputs 2022 to 2026

Barley (Hordeum vulgare L.) is used in malt production for brewing applications. Barley malting involves a process of controlled germination that modifies the grain by activating enzymes to solubilize starch and proteins for brewing. Initially, the grain is submerged in water to raise grain moisture, requiring large volumes of water. Achieving grain modification at reduced moisture levels can contribute to the sustainability of malting practices. This study combined proteomics, bioinformatics, and biochemical phenotypic analysis of two malting barley genotypes with observed differences in water uptake and modification efficiency. We sought to reveal the molecular mechanisms at play during controlled germination …

Enhancing Crop Resilience By Harnessing The Synergistic Effects Of Biostimulants Against Abiotic Stress, Anam Asif, Maratab Ali, Muslim Qadir, Rajmohan Karthikeyan, Zora Singh, Ravjit Khangura, Francesco Di Gioia, Zienab F. R. Ahmed

Research outputs 2022 to 2026

Plants experience constant exposed to diverse abiotic stresses throughout their growth and development stages. Given the burgeoning world population, abiotic stresses pose significant challenges to food and nutritional security. These stresses are complex and influenced by both genetic networks and environmental factors, often resulting in significant crop losses, which can reach as high as fifty percent. To mitigate the effects of abiotic stresses on crops, various strategies rooted in crop improvement and genomics are being explored. In particular, the utilization of biostimulants, including bio-based compounds derived from plants and beneficial microbes, has garnered considerable attention. Biostimulants offer the potential to …

A Synthetic Wheat L-System To Accurately Detect And Visualise Wheat Head Anomalies, Chris C. Napier, David M. Cook, Leisa Armstrong, Dean Diepeveen

Research outputs 2022 to 2026

Greater knowledge of wheat crop phenology and growth and improvements in measurement are beneficial to wheat agronomy and productivity. This is constrained by a lack of public plant datasets. Collecting plant data is expensive and time consuming and methods to augment this with synthetic data could address this issue. This paper describes a cost-effective and accurate Synthetic Wheat dataset which has been created by a novel L-system, based on technological advances in cameras and deep learning. The dataset images have been automatically created, categorised, masked and labelled, and used to successfully train a synthetic neural network. This network has been …

Towards A Novel Approach For Smart Agriculture Predictability, Rima Grati, Myriam Aloulou, Khouloud Boukadi

All Works

No abstract provided.