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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 181 records · Page 10
All sourcesNASA NTRSDOE OSTI
NASA NTRS1973

Observations of the plant growth and annual flooding in the inland delta of the Niger River, west Africa

The author has identified the following significant results. A large potential irrigation area with water delivery system in place was identified from ERTS-1 imagery. The site is in the Sahara Desert. Color additive change detection imagery was used to assess ground water potentials in the Savannah in conjunction with a major US AID-Mali livestock sector initiative. The potential capacity to map laterite deposits in the Inland Delta from space was established with the help of aerial and ground surveys. A color composite of the Inland Delta could have saved French biogeographers 3 5/6 man-years of professional field work had it been available, according to the man who prepared a plant community map of part of the southern Inland Delta.

Macleod, N. H.↗
NASA NTRS2018

Plant Growth Research for Future Food Production - Seed Microbiome Project

Humanity is currently on the precipice of a new era: one where human civilization is no longer bound to the confines of a single planet. Now, organizations like the National Aeronautics and Space Administration (NASA) have extended their areas of research and are beginning to focus not just on getting humans into space, but also to keep them safe, healthy, and sane. This focus falls under the Human Research Program (HRP). A focus of this program is "dedicated to discovering the best methods and technologies to support safe, productive human space travel" [1]. For "safe and productive space travel" to occur, astronauts must have proper nutrition [1]. While sending up large amounts of dried and packaged food with every shuttle might work fairly well in the short term, when only a few people need to be fed, it will not be sustainable, especially as NASA looks toward longer space journeys beyond the Earth's orbit. Research into this area falls under Advanced Life Support (ALS), whose mission is to develop regenerative life support systems to support future NASA long-duration missions [2]. This would involve growing crops in space to supplement astronaut diets [2]. An important, yet often overlooked, part of growing crops in any environment is the microbial organisms that inhabit the plants' microbiomes. The Seed Microbiome Project aims to investigate the microbial presence throughout the life stages of three crops, Mizuna Mustard, 'Outredgeous' Red Romaine Lettuce, and 'Red Robin' Tomato, that have either been or will be grown on the ISS.

Birtell, Eva↗
NASA NTRS1983

Development of a prototype experiment for treating CELSS and PCELSS wastes to produce nutrients for plant growth

Future long term spaceflights require extensive recycling of wastes to minimize the need for resupplying the vessel. The recycling occurs in a fully or partially closed environment life support system (CELSS or PCELSS). The National Aeronautics and Space Administration (NASA) is interested in converting wastewater into potable water or water for hydroponic farming as part of a CELSS. The development of technologies for wastewater treatment that produce a minimum of by-products is essential. One process that achieves good conversion of moderately concentrated organic wastes in water (1 to 20% by weight) completely to carbon dioxide and water is oxidation in supercritical water. Both air (or oxygen) and many organics are completely miscible with supercritical water, so there are no interphase mass transport resistances that limits the overall oxidation reaction. The temperature of supercritical water, which must be above 374 C, is also sufficient to have rapid reaction kinetics for the oxidations.

Source record↗
NASA NTRS1983

A mathematical model for crop spectral-temporal trajectories based on a plant growth model

The Kubelka-Munk radiative transfer model is combined with an approximation of Kauth-Thomas greeness and brightness transforms to derive approximate closed form expressions for crop greeness and brightness surrogates in terms of canopy biomass. The greeness relation derived resembles an existing empirical relation between leaf area index and greeness. A simple growth model based on interception and utilization of photosynthetically active radiation is developed and used to describe the time evolution of greeness and brightness. The model developed does not yet yield definitive profile calculations but suggests a conceptual framework which may be found useful for further profile analysis.

Woolford, T. L.↗
NASA NTRS1984

Gravity-induced asymmetric distribution of a plant growth hormone

Dolk (1936) demonstrated that gravistimulation induced an asymmetric distribution of auxin in a horizontally-placed shoot. An attempt is made to determine where and how that asymmetry arises, and to demonstrate that the endogenous auxin, indole-3-acetic acid, becomes asymmetrically distributed in the cortical cells of the Zea mays mesocotyl during 3 min of geostimulation. Further, indole-3-acetic acid derived by hydrolysis of an applied transport form of the hormone, indole-3-acetyl-myo-inositol, becomes asymmetrically distributed within 15 min of geostimulus time. From these and prior data is developed a working theory that the gravitational stimulus induces a selective leakage, or secretion, of the hormone from the vascular tissue to the cortical cells of the mesocotyl.

Bandurski, R. S.↗
NASA NTRS2004

Microsensor Technologies for Plant Growth System Monitoring

This document covered the following: a) demonstration of feasibility of microsensor for tube and particulate growth systems; b) Dissolved oxygen; c)Wetness; d) Flexible microfluidic substrate with microfluidic channels and microsensor arrays; e)Dynamic root zone control/monitoring in microgravity; f)Rapid prototyping of phytoremediation; and g) A new tool for root physiology and pathology.

Kim, Chang-Soo↗
NASA NTRS2009

Expert system for controlling plant growth in a contained environment

In a system for optimizing crop growth, vegetation is cultivated in a contained environment, such as a greenhouse, an underground cavern or other enclosed space. Imaging equipment is positioned within or about the contained environment, to acquire spatially distributed crop growth information, and environmental sensors are provided to acquire data regarding multiple environmental conditions that can affect crop development. Illumination within the contained environment, and the addition of essential nutrients and chemicals are in turn controlled in response to data acquired by the imaging apparatus and environmental sensors, by an ''expert system'' which is trained to analyze and evaluate crop conditions. The expert system controls the spatial and temporal lighting pattern within the contained area, and the timing and allocation of nutrients and chemicals to achieve optimized crop development. A user can access the ''expert system'' remotely, to assess activity within the growth chamber, and can override the ''expert system''.

May, George A.↗
NASA NTRS2011

Expert system for controlling plant growth in a contained environment

In a system for optimizing crop growth, vegetation is cultivated in a contained environment, such as a greenhouse, an underground cavern or other enclosed space. Imaging equipment is positioned within or about the contained environment, to acquire spatially distributed crop growth information, and environmental sensors are provided to acquire data regarding multiple environmental conditions that can affect crop development. Illumination within the contained environment, and the addition of essential nutrients and chemicals are in turn controlled in response to data acquired by the imaging apparatus and environmental sensors, by an "expert system" which is trained to analyze and evaluate crop conditions. The expert system controls the spatial and temporal lighting pattern within the contained area, and the timing and allocation of nutrients and chemicals to achieve optimized crop development. A user can access the "expert system" remotely, to assess activity within the growth chamber, and can override the "expert system".

May, George A.↗