High-tonnage dedicated energy crops: The potential of sorghum and energy cane

The development of viable lignocellulosic-biofuel industries in the United States will require dependable delivery of supplies of feedstocks. The selection of feedstocks ultimately will vary with geographical region across the United States. Dedicated bioenergy crops as sources of lignocellulose are likely to be most productive in the southern regions of the United States due to more abundant sunlight and longer growing seasons. Of course, dedicated bioenergy crops in the southwest must tolerate heat and drought, whereas species grown along the Gulf Coast must tolerate heat as well as variable soil moisture and variable soil-oxygen environments associated with different soil types. Dedicated energy crops for the panhandle of Texas and the Midwest will have shorter growing seasons and will need to be more cold tolerant

Senecio nikoensis Miq.

原著和名: サハギク科名: キク科 = Compositae採集地: 東京都 高尾山 (武蔵 高尾山)採集日: 1986/7/15採集者: 萩庭丈壽整理番号: JH007357国立科学博物館整理番号: TNS-VS-95735

Case_Study_1_plant_height_corn_Raw_Image_Data_3_of_10

Case_Study_1_plant_height_corn_Raw_Image_Data_3_of_1

NDVI map generated from multispectral data collected with the Sentek sensor onboard the Anaconda fixed wing UAV platform.

<p>NDVI map generated from multispectral data collected with the Sentek sensor onboard the Anaconda fixed wing UAV platform.</p

Comparison of different types of UAV platforms.

<p>Comparison of different types of UAV platforms.</p

Gartner hype cycle cartoon of the subjective value and development stage of various technologies discussed here.

<p>Most of the base technologies are mature and productive, but the integration of all of these technologies is new and likely over-hyped.</p

Sensor configuration used in this project.

<p>Sensor configuration used in this project.</p

Generalization of the integration of teams and responsibilities in the TAMU-UAS project.

<p>Field researchers are end users and primarily involved in experimental design and ground-truthing data. Aerospace and mechanical engineers, and ecosystem scientists are primarily involved in raw UAS data collection. Geospatial scientists serve as a clearinghouse for the UAS data and also perform mosaicking—the stitching together of many small images to build one ortho-rectified and radiometrically seamless large image. Agricultural engineers are the nexus of the project, turning the UAS data into actionable results for the end users. The administration team provides and manages funds, facilitates meetings, and coordinates communications and initiatives.</p