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Sela, S

Longchamps, L

Benyahia, H

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Authors

Abail, Z

Benaouda, H

Chikhaoui, M

Benyahia, H

Iben Halima, O

Baraka, M

Douaik, A

Iaaich, H

Zouahri, A

Omari, F

Ludemann, C

Dobermann, A

Graff, N

Sela, S

van Loon, M

Hijbeek, R

van Ittersum, M

Sela, S

Longchamps, L

Topics

Precision Nutrient Management

Data Management

Plenary Session

Type

Oral

Year

2022

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Authors

Filter results4 paper(s) found.
1. Assessment of Nitrogen and Phosphorus Content (NP) in Citrus Trees Using UAV-imagery Derived Vegetation Indices and Machine Learning Algorithms Monitoring nutrient status of citrus trees is fundamental to ensure optimum fruit yield and quality. However, this task is traditionally time-consuming and laborious. Unmanned Aerial Vehicles (UAVs), with their high temporal and spatial resolution imagery, are demonstrating a great potential to substitute traditional methods in assessing nutrient status of several crops, including citrus. In this study, we evaluated the performance of vegetation indices (VIs) derived from UAV multispectral images... Z. Abail, H. Benaouda, M. Chikhaoui, H. Benyahia, O. Iben halima, M. Baraka, A. Douaik, H. Iaaich, A. Zouahri, F. Omari
2. The Global Crop Nutrient Removal Database (Gcnrd): Development, Initial Analysis and Identification of Current Data Gaps Improved understanding of the factors affecting nutrient uptake can enable production optimization, increased nutrient use efficiencies, reduced environmental footprints, and overall higher economic returns for farmers. Crop uptake is affected by genetics, soil, weather, agronomic practices, and their interactions. As such, understanding the way crop nutrient uptake varies across different regions and production environments requires the coverage of various parameters, and necessitates collaboration... C. Ludemann, A. Dobermann, N. Graff, S. Sela, M. Van loon, R. Hijbeek, M. Van ittersum
3. Utilizing Guards (Growing Universal Agronomic Research Data Standard) and the Fair Principles for Data Standardization and Agronomic Insights The quantity and scope of agronomic data available for researchers in both industry and academia is increasing rapidly. Data sources include a myriad of different streams, such as field experiments, sensors, climatic data, socioeconomic data or remote sensing. The lack of standards and workflows frequently leads agronomic data to be fragmented and siloed, hampering collaboration efforts within research labs, university departments, or research institutes. Researchers and businesses therefore allocate... S. Sela
4. Decentralized Research: an Opportunity to Accelerate the Transition Towards Sustainable Food Production The large majority of farmers experiment on their farms to invent and/or adopt new crop production techniques and technologies. This endogenous experimentation process is slow because it often resembles trial and error and relies on minimal data (e.g., comparing total yield between two fields) to draw conclusions. Digital agronomy can help enhance the scientific value of these experiments and thus enable systematic progress toward working solutions. This presentation will discuss the use... L. Longchamps

Filter results4 paper(s) found.

1. Assessment of Nitrogen and Phosphorus Content (NP) in Citrus Trees Using UAV-imagery Derived Vegetation Indices and Machine Learning Algorithms

Monitoring nutrient status of citrus trees is fundamental to ensure optimum fruit yield and quality. However, this task is traditionally time-consuming and laborious. Unmanned Aerial Vehicles (UAVs), with their high temporal and spatial resolution imagery, are demonstrating a great potential to substitute traditional methods in assessing nutrient status of several crops, including citrus. In this study, we evaluated the performance of vegetation indices (VIs) derived from UAV multispectral images... Z. Abail, H. Benaouda, M. Chikhaoui, H. Benyahia, O. Iben halima, M. Baraka, A. Douaik, H. Iaaich, A. Zouahri, F. Omari

2. The Global Crop Nutrient Removal Database (Gcnrd): Development, Initial Analysis and Identification of Current Data Gaps

Improved understanding of the factors affecting nutrient uptake can enable production optimization, increased nutrient use efficiencies, reduced environmental footprints, and overall higher economic returns for farmers. Crop uptake is affected by genetics, soil, weather, agronomic practices, and their interactions. As such, understanding the way crop nutrient uptake varies across different regions and production environments requires the coverage of various parameters, and necessitates collaboration... C. Ludemann, A. Dobermann, N. Graff, S. Sela, M. Van loon, R. Hijbeek, M. Van ittersum

3. Utilizing Guards (Growing Universal Agronomic Research Data Standard) and the Fair Principles for Data Standardization and Agronomic Insights

The quantity and scope of agronomic data available for researchers in both industry and academia is increasing rapidly. Data sources include a myriad of different streams, such as field experiments, sensors, climatic data, socioeconomic data or remote sensing. The lack of standards and workflows frequently leads agronomic data to be fragmented and siloed, hampering collaboration efforts within research labs, university departments, or research institutes. Researchers and businesses therefore allocate... S. Sela

4. Decentralized Research: an Opportunity to Accelerate the Transition Towards Sustainable Food Production

The large majority of farmers experiment on their farms to invent and/or adopt new crop production techniques and technologies. This endogenous experimentation process is slow because it often resembles trial and error and relies on minimal data (e.g., comparing total yield between two fields) to draw conclusions. Digital agronomy can help enhance the scientific value of these experiments and thus enable systematic progress toward working solutions. This presentation will discuss the use... L. Longchamps