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Projects

Using Engineering tools to identify and quantify biotic and abiotic stress in soybean for customable agriculture production

PI – Arti Singh;  Co-PI – Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh Singh, Daren Mueller and Greg Tylka The goal of this research is to identify and differentiate biotic stresses under
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D3AI: Data driven discoveries for agricultural innovation

Co-PI – Asheesh Singh, Baskar Ganapathysubramanian, Carolyn Lawrence, Senior Personnel – Arti Singh and others Currently, the highest priorities for agriculture production are to sustainably meet the food/feed/fuel/fiber requirements of
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Smart phone enabled detection and quantification of multiple stresses in soybean

PI – Arti Singh; Co-PI – Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh Singh, Daren Mueller and Greg Tylka The main objective of the project was to differentiate mutliple stresses in soybean
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Quantifying temporal and spatial variability of nitrate-N leaching across iowa

We work to determine what drives the large variability in NO3-N losses from agricultural fields across the state.
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Root-water table interactions in corn-soybean systems

In this study we investigate how groundwater table depth may influence plant growth above- and below-ground through affecting the vertical distribution of roots. The purpose of this project is to
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Saliency-driven robotic networks for Spatiotemporal plant Phenotyping

PI – Sourabh Bhattacharya; Co-PI – Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian, Asheesh Singh The objective of this project is to build a network of ground robots that can collect
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A multi-scale data assimilation framework for layered sensing and hierarchical control of disease spread in field crops

PI – Soumik Sarkar; Co-PI – Arti Singh, Baskar Ganapathysubramanian, Asheesh Singh and Daren Mueller The availability of cheap, deployable, and connected sensor technology has produced a data deluge at
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FACT: A Scalable Cyber Ecosystem for Acquisition, Curation, and Analysis of multispectral UAV image data

A current cyber-agriculture data need is to improve and standardize data collection protocols and to develop curation processes and infrastructure to support the ability of machine learning (ML) to contribute
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Biophysical Factors Affecting Nitrous Oxide Fluxes

Soil is the largest terrestrial source of nitrous oxide.  In agricultural cropping systems, nitrous oxide typically represents the largest net greenhouse gas flux. Increases in farm efficiency are well known
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Nitrogen Use Efficiency

Soil organic matter increases crop yield amount and stability. Soil organic matter – not nitrogen fertilizer – is the largest source of crop nitrogen uptake and environmental nitrogen loss. For
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Cover Crops and Nitrogen Retention

Cover crops are an integral component of cropping systems because they grow in the fall and early spring – that is, times when the soil would not have a growing
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Soil Fertility Research

Nitrogen management practice effect on tile drainage water quality. Long-term N fertilization rate and crop rotation effect on corn and soybean production. Modeling corn yield response to N rate. Corn
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