Results 271 to 280 of about 321,240 (314)

Fractal Analysis of Yield Maps

Transactions of the ASABE, 2008
Agricultural crop yield data usually are highly nonlinear and complex. Basic mathematical and statistical techniques are sometimes insufficient to describe the nature, trend, or cause of variations in yield. This article investigates fractal analysis of agricultural yield maps and describes a method of applying fractal analysis to multiple years of ...
null R. Ehsani, null D. Karimi, null K. H. Lee   +2 more
openaire   +1 more source

The Pitfalls of Constructing Yield Maps

1997
Abstract A yield map can be an important tool in guiding the variable rate application of inputsand in assessing the affects that variable rate input application can have on crop yields fora farm field. This paper identifies and examines several factors which determine the qualityof a yield map.Introduction Precision farming (variable rate input ...
Valvo, R. Anthony, Humphrey, Ernest, Lee, John G., Valvo, R. Anthony, Humphrey, Ernest, Lee, John G.   +5 more
openaire   +3 more sources

Yield modeling and yield-aware mapping for application specific networks-on-chip

2011 NORCHIP, 2011
Network-on-chip has been proposed as an interconnection solution for increasing number of cores on chips. Increasing number of cores affects the yield of the devices and systems that make use of the multi core chips. Two major factors that affect the system yield are routers and links yield. We propose a yield model which uses variable router yield for
Seyyed Hassan Khalilinezhad, Akram Reza, Midia Reshadi   +2 more
openaire   +1 more source

Yield mapping methods for manually harvested crops

Computers and Electronics in Agriculture, 2015
Abstract Lack of yield mapping solutions is currently a bottleneck for Precision Agriculture development and adoption in many manually harvested fruit and vegetable crops. In such systems, the handpicked produce is briefly stored in bags or boxes across the field before they are loaded and transported.
André F. Colaço, Rodrigo G. Trevisan, F. H. S. Karp, José Paulo Molin   +3 more
openaire   +1 more source

MODIS applications for mapping regional crop yields

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
Monitoring crop condition and yields at regional scales using traditional operational NOAA AVHRR data remains challenging. The 1 km spatial resolution with two primary spectral bands is not adequate for development of field level canopy parameters. MODIS imagery offers an opportunity for daily coverage and adequate resolution required in operational ...
Paul C. Doraiswamy, Bakhyt Akhmedov, Alan J. Stern, Jerry L. Hatfield, John H. Prueger   +4 more
openaire   +1 more source

Methodology to generate yield maps of maize crops

2010 IEEE International Geoscience and Remote Sensing Symposium, 2010
In central Mexico, specifically in the State of Mexico maize is cultivated under different technological regimes ranging from traditional rain water dependency and native seeds producing yields of under 1.0 ton/ha, up to irrigation and improved seeds regimes with yields above 12.0 ton/ha. The average state yield harvested area for this crop in the past
Jesus Soria-Ruiz, Yolanda M. Fernandez-Ordonez   +1 more
openaire   +1 more source

Screening Yield Monitor Data Improves Grain Yield Maps

Agronomy Journal, 2004
Yield monitor data contain systematic and random errors, which must be removed for creating accurate yield maps. A general procedure for assessing yield data cleaning methods was applied to a new postprocessing algorithm in which six common types of erroneous yield monitor values were removed: (1) combine header status up; (2) start‐/end‐pass delays ...
G. C. Simbahan, A. Dobermann, J. L. Ping
openaire   +1 more source

Interpreting Yield Maps: "I gotta yield map, now what?"

2015
Yield maps can be a very important piece for management decisions and for observing the impacts from these decisions. Common sense detective work may be required for preparing and interpreting yield maps. This publication reviews the important factors related to using yield maps.
Grisso, Robert D., Alley, Marcus M., Phillips, Steven B., McClellan, Phil   +3 more
openaire   +1 more source

Detection of favorable alleles for yield and yield components by association mapping in upland cotton

Genes & Genomics, 2018
Association mapping based on linkage disequilibrium provides a promising tool for dissecting the genetic basis underlying complex traits. To reveal the genetic variations of yield and yield components traits in upland cotton, 403 upland cotton accessions were collected and analyzed by 560 genome-wide simple sequence repeats (SSRs).
Chengguang, Dong, Juan, Wang, Quanjia, Chen, Yu, Yu, Baocheng, Li   +4 more
openaire   +2 more sources

Whole-farm yield map datasets – Data validation for exploring spatiotemporal yield and economic stability [PDF]

Agricultural Systems
CONTEXT: Statistical methods used for delineation of field management zones and yield stability are frequently only applied to relatively small areas, with few studies performing rotational, whole-farm economic spatiotemporal appraisals.
Stephen H Hallett, Jacqueline A Hannam
exaly   +2 more sources