Performing Department
(N/A)
Non Technical Summary
Hyperspectral imagery produces images that include colors both within and beyond the range of colors that can be seen by the human eye. Hyperspectral Imagery allows for the classification, identification, and detection of vegetation phenomena that relate to the agricultural industry, including: plant species identification, insect and disease detection and monitoring, stress detection, soil quality, and vegetative health information that are key to effective precision agriculture. Existing hardware used for hyperspectral imaging is restricted to a few narrow spectral bands or "colors" of light which provide minimal information, or is very large/costly and only available to high end user applications (satellite imaging, etc.) There is a need within the agricultural industry for a wide spectral bandwidth (350-2500 nm) measurement system that is also low cost and compact enough to be more available for a wide range of use cases by agronomics stakeholders. Ideally, such hardware would be compact and rugged enough to the used on a range of platforms (low cost UAV, farm equipment, and fixed installation).Sporian anticipates development of a compact, low-cost, broad range, hyperspectral imager capable of high spatial and temporal resolution monitoring and characterization of soil, water content, and condition and health indicators of plants and crops. Final hardware will be compact, and rugged enough to the used on a range of industry relevant platforms. Such a technology will enhance the efficiency and profitability of crop production, and through accurate detection at the earliest stages of their manifestations, reduce the impact of plant pathogens, insect pests, or abiotic stressors. Through direct point of use, or through agricultural services providers, this device could help insure food security for approximately 2 million farms in the United States. For example, it is estimated that in the United States alone, crop losses due to plant pathogens are about 33 billion dollars each year. The cost of putting the proposed technology in the hands of all farmers in the US would be ~$10 billion, and lower if instead sold to the smaller number of agricultural/agronomist service providers. The agriculture industry is the prime commercial opportunity due to concerns for nutrients, water-stress, disease, pests and overall plant health, but the proposed hyperspectral imaging technology would be attractive for other industries as well, including the oil & gas and mining industries.
Animal Health Component
25%
Research Effort Categories
Basic
0%
Applied
25%
Developmental
75%
Goals / Objectives
The long term major goal of the proposed work is to realize compact, inexpensive, continuous broad range hyperspectral (350-2500nm) measurement systems. Such hyperspectral measurement systems will make improved hyperspectral data comparable to that from larger scale aerial and satellite platforms available for a range of agricultural research and commercial use applications. If designed appropriately, such low cost hardware could be used as part of fixed installations (greenhouses, towers, etc.), attached to farm equipment (enabling autonomous decisions in real-time for precision planting, weed control, and fertilization), or used with off-the-shelf small to midsized UAS platforms. By providing high resolution (spatial and temporal) non-destructive monitoring of indicators at the earliest stages of their manifestations, the technology could significantly reduce the impact of plant disease, insect pests, abiotic stress, and competing vegetation on crop plants. In such a capacity, the technology could promote efficiency, and reduce operational costs of crop production by supporting precision farming strategies.Development of such a hyperspectral imager may be realized by utilizing a novel optical system designed using a set of low cost components to achieve the cost, size, and performance goals. The novel optical design originates from (and heavily leverages) Sporian's prior development efforts on spectroscopic measurement systems for airborne and remote monitoring applications where size and power miniaturization were critical, but requires significant additional developed for use in the proposed agricultural applications.The proposed Phase II technical objectives include:Continue working with technical and transition partners/customers to define key system requirements, data usage strategies, and foster commercial transition.Develop initial detailed designs for the total integrated system (hardware, electronics, and firmware), revise based on experimental input, and develop final designs for prototyping and testing.Rigorous testing of prototype systems in lab-scale and field environments to validate potential application suitability.
Project Methods
The primary efforts will includeWorking with technical and transition partners/customers to define key system requirements, data usage strategies, and foster commercial transition.Building upon prior work on the miniaturized hyperspectral spectrometer to evaluate and develop a preliminary, imaging capable, total system design including optics, firmware, electronics, and packaging.Constructing a first-generation, field-usable version of the scanning hyperspectral imager, and conducting proof-of principle experiments to demonstrate the performance characteristics.The results will be evaluated by:Utilizing transition partners/customers input to validate the end user utility of the technology developed during Phase II, and identifying how generated data parameters translate into successful, intuitive data/metrics for the end users.Evaluating hardware configurations through analytical and computational modeling, and generating a comparison matrix based on predicted performance, sensitivity, and feasibility.Comparing experimental data from proof of principle hardware testing to the state of the art aerospace grade hyperspectral systems, and validating the application utility through relevant application/field environment testing.