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Kukal, S
Journaux, L
Kelley, A
Jayachandran, K
Kieffer, D.L
Kisekka, I
Jalem, R.S
Jang, S
Karp, F.H
Krueger Shvetsova, E
J�??�?�¸rgensen, R.N
Zhang, X
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Authors
J�??�?�¸rgensen, R.N
Midtiby, H.S
Giselsson, T.M
Krueger Shvetsova, E
Kurtener, D
Kurtener, D
Torbert, H
Cointault, F
Marin, A
Journaux, L
Miteran, J
Martin, R
Choo, Y
Chung, S
Huh, Y
Kim, Y
Jang, S
Jung, K
Kieffer, D.L
O'Connor, T.S
Drechsler, K
Kisekka, I
Upadhyaya, S
Ferraz, M.N
Trevisan, R.G
Eitelwein, M.T
Molin, J
Karp, F.H
Ampatzidis, Y
Derival, M
Kakarla, S
Albrecht, U
Zhang, X
Burton, L
Jayachandran, K
Bhansali, S
Mekonnen, Y
Sarwat, A
Sharma, A
Jalem, R.S
Dash, M
Kukal, S
Vellidis, G
Wieland, S
Kelley, A
Topics
Precision Crop Protection
Modeling and Geo-statistics
Precision Horticulture
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Precision Horticulture
Education and Outreach in Precision Agriculture
Smart Weather for Precision Agriculture
Decision Support Systems
Industry Sponsors
Type
Poster
Oral
Year
2012
2010
2014
2008
2018
2022
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Authors

Filter results12 paper(s) found.

1. Evaluation Of Yield Maps Using Fuzzy Indicators

  The ultimate goal of application of yield maps is profitable crop output in many farming systems. Yield maps are the starting point in the precision farming system, and provide the final record indicating the effectiveness of any management changes. Researches on yield mapping shown, that positions and boundaries of zones with different levels of... E. Krueger shvetsova, D. Kurtener, D. Kurtener, H. Torbert

2. Wheat Growth Stages Discrimination Using Generalized Fourier Descriptors In Pattern Recognition Context

... F. Cointault, A. Marin, L. Journaux, J. Miteran, R. Martin

3. BrainWeed - Teach-In System for Adaptive High Speed Crop / Weed Classification and Targeting

Conducting inter row mechanical weeding requires the precise location of each individual crop plant is known. One technique is to record the global position of each seed when sown using  RTK-GPS systems. Another... R.N. JÃ???Ã??Ã?¸rgensen, H.S. Midtiby, T.M. Giselsson

4. Basic Tests Of pH And EC Probes For Automatic Real Time Nutrient Control In Protected Crop Production

Research on greenhouse and plant factory has been actively conducting to provide a stable growth environment. In plant factory, EC concentration (EC) and acidity (pH) of nutrient have a significant impact on physiological and morphological of plant. Therefore, EC and pH are important element for automatic control of nutrient solution. In this study, performance pH and EC sensors was evaluated for the responsiveness, accuracy and displacement. This study includes development of environmental... Y. Choo, S. Chung, Y. Huh, Y. Kim, S. Jang, K. Jung

5. Managing Soil Moisture on Turf Grass Using a Portable Wave Reflectometer

The agronomic needs of grass pose many challenges to managing irrigation on golf greens and lawns. Superintendents must keep putting greens as dry and firm as possible without allowing them to die. Commercial and residential landscapes are expected to look lush and green. But soil moisture has high spatial variability, including hot spots that can rapidly become critically low in available water. One common method of measuring soil moisture is to take core samples and assess moisture content by... D.L. Kieffer, T.S. O'connor

6. A Comprehensive Stress Index for Evaluating Plant Water Status in Almond Trees

This study evaluated a comprehensive plant water stress index that integrates the canopy temperature and the environmental conditions that can assist in irrigation management. This index—Comprehensive Stress Index (CSI)—is based on the reformulation of the leaf energy balance equation. Specifically, CSI is the ratio of the temperature difference between a dry leaf (i.e. a leaf with a broken stem) and a live leaf (on the same tree) [i.e. Tdry-Tleaf] and the difference between the vapor... K. Drechsler, I. Kisekka, S. Upadhyaya

7. Soybean Plant Phenotyping Using Low-Cost Sensors

Plant phenotyping techniques are important to present the performance of a crop and it interaction with the environment. The phenotype information is important for plant breeders to analyze and understand the plant responses from the ambient conditions and the inputs offered for it. However, for conclusive analysis it is necessary a large number of individuals. Thus, phenotyping is the bottleneck of plant breeding, a consequence of the labor intensive and costly nature of the classical phenotyping.... M.N. Ferraz, R.G. Trevisan, M.T. Eitelwein, J. Molin, F.H. Karp

8. Evaluation of HLB-Infected Citrus Rootstocks Using Ground Penetrating Radar

Citrus production in Florida continues to decline steadily, since the arrival of Huanglongbing (HLB or citrus greening). HLB does not kill the tree, but HLB-infected trees become less productive. Since now, there is no cure for this disease. However, several strategies have been developed to manage and control HLB-infected citrus trees. We have developed and evaluated a heat thermotherapy system (short-term solution) for sustaining productivity of HLB-affected trees. This system heats the canopy... Y. Ampatzidis, M. Derival, S. Kakarla, U. Albrecht, X. Zhang

9. Exploring Wireless Sensor Network Technology in Sustainable Okra Garden: A Comparative Analysis of Okra Grown in Different Fertilizer Treatments

The goal of this project was to explore commercial agricultural and irrigation sensor kits and to discern if the commercial wireless sensor network (WSN) is a viable tool for providing accurate real-time farm data at the nexus of food energy and water. The smart garden consists of two different varieties of Abelmoschus esculentus (okra) planted in raised beds, each grown under two different fertilizer treatments. Soil watermark sensors were programed to evaluate soil moisture and dictate irrigation... L. Burton, K. Jayachandran, S. Bhansali, Y. Mekonnen, A. Sarwat

10. Micro-climate Prediction System Using IoT Data and AutoML

Microclimate variables like temperature, humidity are sensitive to land surface properties and land-atmosphere connections. They can vary over short distances and even between sections of the farm. Getting the accurate microclimate around the crop canopy allows farmers to effectively manage crop growth. However, most of the weather forecast services available to farmers globally, either by the meteorological department or universities or some weather app,  provide weather forecasts for larger... A. Sharma, R.S. Jalem, M. Dash

11. Developing a neural-network model for detecting Aflatoxin hotspots in peanut fields

Aflatoxin is a carcinogenic toxin produced by a soilborne fungi, called Aspergillus flavus, causing a difficult struggle for the peanut industry in terms of produce quality, price and the range of selling market. This study aims to develop a successful U-Net CNN (Convolutional Neural Network) model, a reliable image segmentation method, that will help in distinguishing high probability zones of occurrence of Aflatoxin in peanut fields using remotely sensed hyperspectral imagery. The research was... S. Kukal, G. Vellidis

12. EarthScout, GBC

EarthScout is a precision remote sensor technology that provides farmers and researchers with reliable data in real time, straight from your field to your desktop and mobile devices. In season data allows users to access current conditions for smarter decision making in irrigation and nitrogen management. EarthScout is a crop agnostic tool that is used in any soil type and climate. Our plug and play field sensors need no calibration and set up only takes about 5 minutes. There are no data subscription... S. Wieland, A. Kelley