Proceedings :: AfCPA

Download the Conference Proceedings

Get your copy of the 2024 African Conference on Precision Agriculture Proceedings today! Download the PDF file and view all of the available proceedings.

Download Proceedings

Proceedings

Find matching any: Reset

Vermeulen, P

Mutanga, O

» Add more authors

Add filter to result:

Authors

EL-MEJJAOUY, Y

Dumont, B

Vermeulen, P

Oukarroum, A

Mercatoris, B

Dlamini, C

Odindi, J

Mutanga, O

Matongera, T

Ndlovu, S

Odindi, J

Sibanda, M

Mutanga, O

Topics

Proximal and Remote Sensing

Small Holders and Precision Agriculture

Type

Oral

Year

2022

2024

Home » Authors » Results

Authors

Filter results3 paper(s) found.
1. Leaf-proximal Hyperspectral Data and Multivariate Modelling Approaches to Estimate Phosphorus and Potassium Content of Wheat Leaves The assessment of plant nutrient status to provide sufficient fertilization for rapid and continuous uptake by plants has been based on visual diagnosis in the field, which is quick but demands a lot of experience and has low operability. Visible near-infrared spectroscopy (VNIS) has shown to be a quick, non-destructive, accurate, and cost-effective analytical method in precision agriculture. In this study, we assessed the potential of this technology to predict phosphorus and potassium content... Y. El-mejjaouy, B. Dumont, P. Vermeulen, A. Oukarroum, B. Mercatoris Download paper
2. The Use of Unmanned Aerial Vehicle (UAV) Remotely Sensed Data and Biophysical Variables to Predict Maize Above-Ground Biomass (AGB) in Small-Scale Farming Systems Considering the current and projected increase in human population, approaches to optimize crop productivity to meet the rising demand are paramount. Timely and accurate maize Above Ground Biomass (AGB) measurements allow for development of models that can precisely predict yield prior to harvesting, useful for food production management and sustenance. The development of Unmanned Aerial Vehicles (UAVs) as a new generation of robust remote sensing platforms, mounted with high-resolution sensors... C. Dlamini, J. Odindi, O. Mutanga, T. Matongera Download paper
3. Enhancing the Estimation of Equivalent Water Thickness in Neglected and Underutilized Taro Crops Using UAV Acquired Multispectral Thermal Image Data and Index-Based Image Segmentation Due to the impact of climate variability and change, smallholder farmers are increasingly faced with the challenge of sustaining crop production. Taro, recognized as a future smart neglected and underutilized crop due to its resilience to abiotic stresses, has emerged as valuable for diversifying crop farming systems and sustaining local livelihoods. Nonetheless, a significant research gap exists in spatially explicit information on the water status of taro, contributing to the paradox of its... S. Ndlovu, J. Odindi, M. Sibanda, O. Mutanga Download paper

Filter results3 paper(s) found.

1. Leaf-proximal Hyperspectral Data and Multivariate Modelling Approaches to Estimate Phosphorus and Potassium Content of Wheat Leaves

The assessment of plant nutrient status to provide sufficient fertilization for rapid and continuous uptake by plants has been based on visual diagnosis in the field, which is quick but demands a lot of experience and has low operability. Visible near-infrared spectroscopy (VNIS) has shown to be a quick, non-destructive, accurate, and cost-effective analytical method in precision agriculture. In this study, we assessed the potential of this technology to predict phosphorus and potassium content... Y. El-mejjaouy, B. Dumont, P. Vermeulen, A. Oukarroum, B. Mercatoris

Download paper

2. The Use of Unmanned Aerial Vehicle (UAV) Remotely Sensed Data and Biophysical Variables to Predict Maize Above-Ground Biomass (AGB) in Small-Scale Farming Systems

Considering the current and projected increase in human population, approaches to optimize crop productivity to meet the rising demand are paramount. Timely and accurate maize Above Ground Biomass (AGB) measurements allow for development of models that can precisely predict yield prior to harvesting, useful for food production management and sustenance. The development of Unmanned Aerial Vehicles (UAVs) as a new generation of robust remote sensing platforms, mounted with high-resolution sensors... C. Dlamini, J. Odindi, O. Mutanga, T. Matongera

Download paper

3. Enhancing the Estimation of Equivalent Water Thickness in Neglected and Underutilized Taro Crops Using UAV Acquired Multispectral Thermal Image Data and Index-Based Image Segmentation

Due to the impact of climate variability and change, smallholder farmers are increasingly faced with the challenge of sustaining crop production. Taro, recognized as a future smart neglected and underutilized crop due to its resilience to abiotic stresses, has emerged as valuable for diversifying crop farming systems and sustaining local livelihoods. Nonetheless, a significant research gap exists in spatially explicit information on the water status of taro, contributing to the paradox of its... S. Ndlovu, J. Odindi, M. Sibanda, O. Mutanga

Download paper