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SALCEDO, R
Sripada, R.P
Sanches, G
Spina, A.N
Singh, R
Shechter, M
Simard, M
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Authors
Panneton, B
Simard, M
Leroux, G.D
Longchamps, L
Fontenelli, J.V
Amaral, L.R
Demattê, J.M
Magalhães, P.G
Sanches, G
Ram, E
Shechter, M
Sela, E
Sripada, R.P
Schmidt, J.P
Gil, E
Garcia-Ruíz, F
BISCAMPS, J
SALCEDO, R
CAMPOS, J
Singh, R
Sharda, A
Spina, A.N
Fulton, J.P
Shearer, S.A
Berger-Wolf, T
Drewry, D
Topics
Precision Crop Protection
Proximal Sensing in Precision Agriculture
Remote Sensing for Nitrogen Management
Precision Crop Protection
Artificial Intelligence (AI) in Agriculture
Type
Poster
Oral
Year
2012
2016
2008
2024
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Filter results7 paper(s) found.

1. Development of a Quick Diagnosis Method to Target Fields with Better Potential for Site-Specific Weed Management

Site-specific weed management appears as an innovative way of saving herbicides in crop while maintaining yield. This can potentially lead economic and ecological benefits. However, it was reported in the literature that savings range from 1 % to 94 % from one field to the other. This implies that certain fields... B. Panneton, M. Simard, G.D. Leroux, L. Longchamps

2. Soil Attributes Estimation Based on Diffuse Reflectance Spectroscopy and Topographic Variability

The local management of crop areas, which is the basic concept of precision agriculture, is essential for increasing crop yield. In this context, diffuse reflectance spectroscopy (DRS) and digital elevation modelling (DEM) appears as an important technique for determining soil properties, on an adequate scale to agricultural management, enabling faster and less costly evaluations in soil studies. The objective of this work was to evaluate the use of DRS together with topographic parameters for... J.V. fontenelli, L.R. Amaral, J.M. Demattê, P.G. Magalhães, G. Sanches

3. High Capacity System for Precision Agriculture Reconnaissance and Intelligence

Icaros-Demeter has developed a lightweight, compact remote sensing system with a potential for producing 100,000 acre (400km-2) thematic maps per day with high resolution digital RGB/CIR CMOS sensors. The Icaros- Demeter system enables fast, precise location of multiple area and spots types. The system’s ability for producing high precision Digital Surface Models (DSM) over vast areas, offers a direct method for computing agricultural biomass via volume calculations, instead of common indirect... E. Ram, M. Shechter, E. Sela

4. Variability in Observed and Sensor Based Estimated Optimum N Rates in Corn

Recent research showed that active sensors such as Crop Circle can be used to estimate in-season N requirements for corn. The objective of this research was to identify sources of variability in the observed and Crop Circle-estimated optimum N rates. Field experiments were conducted at two locations for a total of five sites during the 2007 growing season using a randomized complete block design with increasing N rates applied at V6-V8 (NV6) as the treatment factor. Field sites were selected from... R.P. Sripada, J.P. Schmidt

5. Variable Rate Application to Improve Cro Protection in Orchards and Vineyards. Prescription Maps and Satellites to Accomplish EU Farm to Fork Strategy

Accurate canopy characterization is crucial for a targeted application of plant protection products following variable rate application (VRA) concept. Remote sensing offers a robust and rapid monitoring tool that allows determining the characteristics of the vegetation from aerial platforms at different spatial resolutions. Previous work have demonstrated that drone-based imagery can be used to estimate canopy height, width, and canopy volume accurately enough to allow a full automation of VRA... E. Gil, F. Garcia-ruíz, J. Biscamps, R. Salcedo, J. Campos

6. Quantifying Constant Rate and Sensor-based Variable Rate Nitrogen (N) Fertilizer Response on Crop Vigor and Yield

Agricultural fertilizer application is one of the essential components of crop production. It enhances crop growth, yield, and quality of the crop. The most widely used methods for nutrient application are the constant rate and variable rate application. An improper supply of fertilizer can potentially hamper crop growth and reduce the quality of the crop. Therefore, there is a need to select the best optimum nutrient application method for proper utilization of the nutrients. Therefore, the study... R. Singh, A. Sharda

7. Determining Desirable Swine Traits that Correlate to High Carcass Grades for Artificial Intelligence Predictions

With the global population continuing to grow, there has been an increased stress applied to the agriculture industry to improve efficiency and yield. To achieve this goal within the cattle industry, selection and reproductive decisions have been lucrative aspects, both genetically and fiscally. Breeding animal selection impacts farms through passing on favorable market, reproductive, and temperament traits. The cattle industry has experienced genetic advancement due to the flexibility of artificial... A.N. Spina, J.P. Fulton, S.A. Shearer, T. Berger-wolf, D. Drewry