Proceedings
Year
| Filter results34 paper(s) found. |
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1. A New Approach for Predicting Soil Nitrate Using Imagery and Non Imagery Information- Model Development and ValidationSoil nitrate, a key nutrient for optirnal gowth and development of crop, can be predicted using a new approach based on imagery and non imagery information. This paper presents an algorithm to predict soil nitrate using i~nagery and 11011 imagery infoi-~nation. LANDSAT TM satellite image, topography, soil electi-ical conductivity, crop yield, and soil type have been used to develop prediction models based on atificial intelligence technique called neural network. The models have been developed a... |
2. Active Sensor Orientation Over Corn Rows and Effect on Assessment of BiomassOur long-tern mresearch goal is to develop practical N application systems that use on-the-go remote sensing as a nleans to assess crop N status and only apply N where needed at times when the crop can most efficiently utilize N. Our preliminaty testing of two active sensor systems has shoxl-11 considerable promise for rapid and accurate assessment of canopy N status and crop biomass. In this work, the effect of sensor positioning and orientation over the canopy and their effects on assessment o... |
3. An Update on Crop Canopy Sensors for In-Season N ManagementRemote sensing in agriculture has focused 011 the spectral and spatial properties of plants. Remote sensing provides the capability for rapid collection of vast quantities of spatial data that can be analyzed quickly for use in detel-mining a course of action. This creates the potential for using remote sensing to assess and manage in-season production practices. Past research has shown that a change in canopy rel-lectance inay not be unique for a given stress. Also, other agents may have effect... |
4. Applied Nutrient Management Research at Pioneer FarmAs part of the Wisconsin Agricultural Stewardship Initiative (WASI). Pioneer Fann serties as an applied systems research and education fCm with a mission to collect and disseminate high- quality environmental and economic baseline data to students, producers, and regulatory personnel. This paper outlines the current farm operations, methods and types of data collection, current results from ongoing monitoring projccts and 1.esearc11, and details how the data is being used to support science-base... |
5. Assessing the Illinois N Test as a Decision Management Tool for SugarbeetThe Illinois nitrogen soil test (INST) was developed to detect sites where corn is nonresponsive to nitrogen (N) fertilization. Nitrogen managernent is critical for sugarbeet production because sucrose content can be compromised with excessive applications of N. The objective of this study was to assess the ability of the INST and other parameters (OM, total N, and NO3'-N) to predict N responsiveness in sugarbeet. Yield and RWSA response to N was assessed at five sites each in 2002 and 2003. IN... |
6. Changes in Nitrogen use Efficiency and Soil Quality After Five Years of Managing for High Yield Corn and SoybeanAverage corn gain yields in the USA have increased linearly at a rate of 1.7 bulacre over the past 35 years with a national yield average of 130 bdacre. Corn yield contest winners and simulation models, ho ~ever, indicate there is -100 bda in exploitable corn yield gap. Six years (1999-2004) of plant development, grain yield and nutrient uptake \yere compared in intensive irrigated maize systems representing (a) recommended best management practices for a yield goal of 200 bdacre (Ml) and (b) in... |
7. Comparison of Nitrogen Recommendation Models for Corn in Two Cropping SystemsSeveral lnodels exist to generate N recommendations, and the model selected can have both economical and environmental implications. A study was initiated in 1998 to compare the response of corn to N in two ci-opping systenls (corn following corn and corn following soybeans). All plots received a starter N rate of 45 kg N ha-' (2 x 2 placement). and five rates of sidedress N (0, 22, 90, 157, and 224 kg N hi') were applied at gro~vth stage V6 either as anhydrous arnmonia or urea-ammonium rli trat... |
8. Corn Response to Anhydrous Ammonia rate, Timing, and Inhibitor use: A RevisitationField experiments were conducted from 2001 through 2003 at three southern Illinois locations to obtain more current data on the effects of anhydrous ammonia rates. application timing, and nitrapyrin (N-Serve) use on corn. Nitrogen rates of 0. 60, 120, and 180 lbs Nlac \\ere evaluated at three times of application (fall, spring pre-plant, and sidedress) with and without nitrapqrin. Corn yield results suggest that fall anhydrous ammonia application is inferior to spring application even if nitrapy... |
9. Corn, Soybean, and Alfalfa Response to Dolomitic and Calcitic LimeCenewed interest in soil pH and liming on some of south-central Minnesota's rnost productive glacial till soils has occurred recently because: (1) intensive "grid" soil sampling has identified areas of fields that are generally considered below optimum pH ( (2) the availability of site-specific application technology to treat only below-optimum pH soils in fields that contain significant variability in soil pH, and (3) near neutral pH is believed to be necessary for achieving exceptionally high ... |
10. Development of Insite VRN as an Effective Nutrient Management ToolGrowers have significantly increased their yield levels in corn and wheat in the last 10 years. As yields increase. the amount of nutrients required has also increased to supply the crop with needed plant nutrition. Fertilizer application rates in excess of plant needs can increase the likelihood that the fertilizer may end up in ground water and streams. Mosaic developed a nutrient application tool, called Ins i te VRN, which illore accurately positions the fertilizer where it is needed for max... |