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Pokharel, P
Portz, G
Varela, S
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Authors
Amaral, L.R
Portz, G
Rosa, H
Molin, J
Molin, J.P
Portz, G
Amaral, L.R
Amaral, L.R
Molin, J.P
Jasper, J
Portz, G
Molin, J
Portz, G
Jasper, J
Vilanova Jr., N.
Molin, J.P
Portz, C
Posada, L.V
Portz, G
Trevisan, R.G
Varela, S
Balboa, G
Prasad, V
Griffin, T
Ciampitti, I
Ferguson, A
Varela, S
Balboa, G
Prasad, V
Griffin, T
Ciampitti, I
Ferguson, A
Portz, G
Jasper, J
Molin, J.P
Balboa, G
Varela, S
Ciampitti, I
Duncan, S
Maxwell, T
Shoups, D
Sharda, A
Portz, G
Reusch, S
Jasper, J
Pokharel, P
Sharda, A
Gadhwal, M
Aryal, B
Topics
Proximal Sensing in Precision Agriculture
Sensor Application in Managing In-season Crop Variability
Sensor Application in Managing In-season Crop Variability
Sensor Application in Managing In-season CropVariability
Remote Sensing Applications in Precision Agriculture
Sensor Application in Managing In-season Crop Variability
Decision Support Systems in Precision Agriculture
Small Holders and Precision Agriculture
Precision Crop Protection
Type
Poster
Oral
Year
2012
2010
2014
2016
2022
2024
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Authors

Filter results11 paper(s) found.

1. Using An Active Crop Sensor To Detect Variability Of Nitrogen Supply On Sugar Cane Fields

Nitrogen management has been intensively studied on several crops and recently associated with variable rate application on-the-go based on crop sensors. On sugar cane those studies are yet scarce and as a biofuel crop the input of energy matters, looking for a high positive balance of biofuel production and low carbon emission on the whole production system. This paper shows the first results obtained using a nitrogen and biomass sensor (N-SensorTM ALS, Yara International ASA) aiming to indicate... J. Molin, G. Portz, J. Jasper

2. Use of Active Crop Canopy Reflectance Sensor for Nitrogen Sugarcane Fertilization

Researches about the use of ground-based canopy reflectance sensors aiming the nitrogen management fertilization on variable-rate over the sugarcane crop have been conducted in São Paulo, Brazil since 2007. Sugarcane response to nitrogen is variable, making difficult the development of models to estimate its demands.... L.R. Amaral, G. Portz, H. Rosa, J. Molin

3. Measuring Sugarcane Height in Complement to Biomass Sensor for Nitrogen Management

Although extensive studied, nitrogen management remains a challenger for sugarcane growers, especially the nutrient spatial variability management, which demands the use of variable rate application. Canopy reflectance sensors are being studied, but it seems to saturate the sensor signal... J.P. Molin, G. Portz, L.R. amaral

4. Optimum Sugarcane Growth Stage for Canopy Reflectance Sensor to Predict Biomass and Nitrogen Uptake

The recent technology of plant canopy reflectance sensors can provide the status of biomass and nitrogen nutrition of sugarcane spatially and in real time, but it is necessary to know the right moment to use this technology aiming the best predictions of the crop parameters... L.R. Amaral, J.P. Molin, J. Jasper, G. Portz

5. Cotton Field Relations Of Plant Height To Biomass Accumulation And N-Uptake On Conventional And Narrow Row Systems

Although studied for decades, cotton field management remains a challenge for growers, especially due to spatial variability of soil conditions and crop growth, which demands the use of variable rate application technology (VRT) for nitrogen and growth regulators to improve yields and quality and/or save inputs. Canopy optical reflectance sensors are being studied as an option to detect infield variability but may have some limitations due to the known effect of signal saturation when used... N. . Vilanova jr., J.P. Molin, C. Portz, L.V. Posada, G. Portz, R.G. Trevisan

6. Spatial-temporal Evaluation of Plant Phenotypic Traits Via Imagery Collected by Unmanned Aerial Systems (UAS)

Unmanned aerial systems (UAS) and a stereovision approach were implemented to generate a 3D reconstruction of the top of the canopy. The 3D reconstruction or CSM (crop surface model) was utilized to evaluate biophysical parameters for both spatial- and temporal-scales. The main goal of the project was to evaluate sUAVs technology to assist plant height and biomass estimation. The main outcome of this process was to utilize CSMs to gain insights in the spatial-temporal dynamic of plants within... S. Varela, G. Balboa, V. Prasad, T. Griffin, I. Ciampitti, A. Ferguson

7. Spatial-temporal Evaluation of Plant Phenotypic Traits Via Imagery Collected by Unmanned Aerial Systems (UAS)

Unmanned aerial systems (UAS) and a stereovision approach were implemented to generate a 3D reconstruction of the top of the canopy. The 3D reconstruction or CSM (crop surface model) was utilized to evaluate biophysical parameters for both spatial- and temporal-scales. The main goal of the project was to evaluate sUAVs technology to assist plant height and biomass estimation. The main outcome of this process was to utilize CSMs to gain insights in the spatial-temporal dynamic of plants within... S. Varela, G. Balboa, V. Prasad, T. Griffin, I. Ciampitti, A. Ferguson

8. Prediction of Sugarcane Yields in Commercial Fields by Early Measurements with an Optical Crop Canopy Sensor

As a grass (Poaceae), sugarcane needs supplemental mineral nitrogen (N) to achieve high yields on commercial production areas. In Brazil, N recommendations for sugarcane ratoons are based on expected yield and the results of N response trials, as soil N analyses are not a suitable basis for decisions on optimum N fertilizer rates under tropical conditions. Since the vegetative parts in sugarcane are harvested, yield components such as the number of stalks and stalk height are directly correlated... G. Portz, J. Jasper, J.P. Molin

9. On Farm Studies to Determine Seeding Rate in Corn

Seeding rate (SDR) is one of the most critical production practices impacting productivity and economic return for corn (Zea mays L.) By changing SDRs in different zones within a field, herein termed as site-specific management, better economic results can be produced as the outcome of reducing SDRs in low productivity areas and increasing SDRs under high-yielding environments, relative to the uniform SDR management performed by the producer. The aim of this study was to analyze yield responses... G. Balboa, S. Varela, I. Ciampitti, S. Duncan, T. Maxwell, D. Shoups, A. Sharda

10. Low Cost Smartphone Camera Accessory to Digitally Measure Leaf Color for Crop Nitrogen Status Assessment

Crop nitrogen (N) status is a desirable information for crop nutrition management. In addition to the traditional leaf sampling with subsequent laboratory analysis, the use of chlorophyll meters is a well-studied and accepted practice to indirectly measure crop N status. Nevertheless, chlorophyll meters are dedicated devices that still cost at least a few hundred dollars, thus being unsuitable to large scale use among low budget smallholders. Aiming to address this issue, a new low cost smartphone... G. Portz, S. Reusch, J. Jasper

11. Assessing Spray Coverage Variability of an Under-canopy Robotic Sprayer System in Sorghum Crop

An under-canopy robotic sprayer system was developed for site-specific pest management in row crops. However, the effect of nozzle type and spray coverage variability at different points within the plant canopy was unknown. The objective of this study was to quantify the spray coverage at multiple locations within the sorghum crop canopy to determine the effectiveness of such robotic systems. The experiments were conducted in a sorghum field in Ashland, Kansas, using XR8001 flat fan and TXVS6... P. Pokharel, A. Sharda, M. Gadhwal, B. Aryal