Useful in municipal, agricultural, and other markets, the cutters unique stationary and rotating blade design allows material to pass through the impeller that would tend to clog a non-cutter pump. If you have a disability and are having trouble accessing information on this website or need materials in an alternate format, contact web-accessibility@cornell.edu for assistance. Systems analytics is a “union” of systems approach and data analytics, and it has emerged as an important component of digital agriculture. Cornell offers many solids handling pumps designed for use in manure slurry applications. Cornell’s popular self-priming series pumps are the most efficient in the industry. Led by Mike Gore, College of Agriculture and Life Sciences, Associate Professor of Molecular Breeding and Genetics for Nutritional Quality, Liberty Hyde Bailey Professor, International Professor of Plant Breeding and Genetics. They can be found in a variety of applications in the Agricultural, Industrial, and Municipal markets and are available in Close-Coupled, SAE Engine Mounted, Horizontal, and Vertical Configurations. One possible theme of this working group is “circular economy” in agriculture, which centers on the production of agricultural and food commodities using the minimum amount of external inputs, while “closing the loops” of nutrients (e.g. Based on engagement with relevant histories, we aim to advance analysis and dialogue around questions of whose vision and problem definitions inform technological designs, how benefits are distributed and which people and places are disrupted by digital technologies in agriculture. on Agric., Nutrition, & Forestry, ABA Section of Environment, Energy, & Resources. Cornell’s Clear Liquid pumps are known around the world as the most durable, most reliable, highest efficiency pumps in the industry. This working group focuses on systems modeling and data analytics, and provides the intellectual framework for artifacts, including software modules that can be called via APIs by the “AI, Analytics and Decision Support” layer of the Software-defined Farm (see below). P and N) and reducing negative discharges to the environment through organic waste treatment. This working group focuses on advancing digital agriculture through systems-level modeling, integration, control and optimization, agricultural big data analytics and machine learning, and multi-scale, hybrid data-driven and mechanistic modeling. The cutter costs a minimal amount of product efficiency and is specially designed to break up clogs and prevent ragging. Generally, laws grouped under the heading "agricultural law" relate to the production of the fruits of these activities as they are carried out in a commercial setting. Features unique to Cornell pumps, such as Cycloseal, Run-Dry®, and Redi-Prime®, allow Cornell pumps to handle the most demanding applications. Led by Steven Wolf, College of Agriculture and Life Sciences, Associate Professor, Department of Natural Resources. Generally, laws grouped under the heading "agricultural law" relate to the production of the fruits of these activities as they are carried out in a commercial setting. animal feeding, dairy manure, poultry litter) with crop science (organic fertilizer production through nutrient recycling), as well as energy, environmental, and climate issues (watershed protection, food waste processing, energy system development) and social sciences aspects (resource/environmental economics, policy, etc.). Agriculture: An Overview. Through engagement with farmers, farm workers, off-farm service providers, agribusinesses, environmental NGOs and government agencies, we seek to understand the application and continuing development of digital tools for agricultural production and environmental protection. The SDF stack incorporates components of Microsoft’s FarmBeats platform, an advanced end-to-end IoT platform for agriculture that enables seamless data collection from various sensors, cameras and drones. The Software-defined Farm™ (SDF) is being designed to work for large and small-scale farms; for farms with significant, limited, or even absent internet connectivity; and for farms with varying types of digitally controlled infrastructure, such as sensors, autonomous vehicles, or robots. Led by Abe Stroock, College of Engineering, Gordon L. Dibble Professor of Chemical and Biomolecular Engineering, William C. Hooey Director of the School of Chemical and Biomolecular Engineering. 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