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Wojciechowski, T
Barreto, B.B
Wijnholds, K.H
Johannsen, C.J
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Authors
P.W Clevers, J.G
Wijnholds, K.H
Jukema, J.N
Struthers, R.R
Johannsen, C.J
Morris, D.K
Wojciechowski, T
Niedbała, G
Bobran, K
Ferraz, V
Mariotto Nabarro, L
Castanho Fernandes, R
Barreto, B.B
Ricardo Silva Costa, B
Molin, J.P
Botta de Siqueira, D.A
Molin, J.P
Barreto, B.B
Silva, M.L
Fiorio, P.R
Costa, B
Barreto, B.B
Fantin Gebler, H
Molin, J.P
Topics
Remote Sensing Application / Sensor Technology
Spatial and Temporal Variability in Crop, Soil and Natural Resources
Decision Support Systems, Cloud Platforms, and Open Data Solutions
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Remote and Proximal Sensing of Soils and Crops
Site-Specific Nutrient, Lime and Seed Management
Type
Oral
Poster
Year
2008
2026
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1. Remote Sensing-based Biomass Maps for an Efficient Use of Fertilizers

For decades the main objective of farmers was to get the highest yields from their farmland. Nowadays, quality of agricultural products is becoming more and more important for the largest returns. In addition, the effects on our environment are also becoming important. These put increasing limitations on modern agriculture. So-called site-specific management can optimize the input of, for instance, nutrients and pesticides to the need of the plants. In this study, the objective was to study whether... J.G. P.w Clevers, K.H. Wijnholds, J.N. Jukema

2. Soil Moisture, Organic Matter and Potassium Influences on Eca Measurement

Spatial variability of soil physical and chemical properties is a fundamental element of site-specific soil and crop management. Since its early implementation in agriculture as a method of measuring soil salinity, the acceptance of Apparent Electrical Conductivity (ECa) in agriculture has been popular as a method of determining the spatial variability of soil physical and chemical properties that influence the ECa estimates. It was the objective of this study to examine the spatial-temporal stability... R.R. Struthers, C.J. Johannsen, D.K. Morris

3. PRAGMATIC - Innovative IT Platform for Yield and Cost Prediction of Agricultural Production

The  aim  of  the  R&D  was  to  develop  a  prototype  of  an  innovative  IT  platform  containing algorithms  for  predicting  yields  and  production  costs  of  agricultural  commodities  for  three reference crops, i.e.: blueberries, apples and potatoes in the supply chain from the field to the production  line.  The  system  are ... T. Wojciechowski, G. Niedbała, K. Bobran

4. Generating Data Via Operational Monitoring of Backpack Equipment on Small Farms

The Brazilian coffee industry, a global leader in production and exports, faces the challenge of increasing production efficiency to meet growing worldwide demand while preserving natural resources. Precision Agriculture (PA) offers essential tools for this data-driven sustainable intensification; however, its adoption in regions with rugged topography and by family-based growers is severely limited by the scarcity of accessible technologies, particularly for spatial yield measurement. The semi-mechanized... V. Ferraz, L. Mariotto Nabarro, R. Castanho Fernandes, B.B. Barreto, B. Ricardo Silva Costa, J.P. Molin

5. Definition of Flight Height for Image Monitoring of Pupunha Palm Cultivation

The use of Unmanned Aerial Vehicles (UAVs) associated with computer vision has expanded the applications of precision agriculture, especially in perennial crops that require detailed spatial monitoring. In the peach palm tree, the automated detection of clumps from aerial images is an efficient alternative to traditional methods, contributing to management and production estimates. Thus, the objective of this study was to evaluate the influence of flight height on the performance of YOLO... D.A. Botta De Siqueira, J.P. Molin, B.B. Barreto, M.L. Silva, P.R. Fiorio

6. Assessing Soil Fertility Inequality at Regional Scale to Support Plot-level Site-specific Management

In accordance with Precision Agriculture (PA) principles, site-specific management could be performed in small-scale farming systems, assuming a cell-size approach where between-plot variability is manageable, rather than the within-plot variability. This framework is particularly useful for fertilization strategies within a single farm and may be extended to a macro scale when georeferenced datasets from multiple plots and farms across a region of interest are available. However, when dealing... B. Costa, B.B. Barreto, H. Fantin Gebler, J.P. Molin