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AfPCA Proceedings 2024

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Cheerakkollil Konath, N
Cummings, C
Persson, K
Tubul, Y
Piikki, K
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Authors
Söderström, M
Piikki, K
Kihara, J
Mutua, J
Wetterlind, J
Dias Paiao, G
Nigon, T.J
Fernández, F.G
Cummings, C
Naeve, S.L
Herrmann, I
Sadeh, R
Avneri, A
Tubul, Y
Lati, R
Abbo, S
Bonfil, D.J
Peleg, Z
Alshihabi, O
Nouiri, I
Mechri, M
Angar, H
Piikki, K
Martinsson, J
Söderström, M
Sapkota, T
Cheerakkollil Konath, N
Takele, R
Snapp, S
Söderström, M
Persson, K
Topics
Precision Nutrient Management
Proximal and Remote Sensing
Decision Support Systems
Precision Nutrient Management
Proximal and Remote Sensing
Type
Oral
Year
2020
2022
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Filter results6 paper(s) found.

1. Mapping spatial variability of soil nutrient deficiencies in smallholder villages – a prerequisite for improved crop production in Africa

Smallholder farming is the dominating type of agricultural production in many parts of Africa. If cultivation practices can be adapted to match the specific needs of individual smallholder plots, this can certainly be regarded as a form of precision agriculture (PA), considering their limited size. A fundamental prerequisite for successful application of PA is the availability of basic information on soil properties at a detailed enough level. To fill yield gaps, site specific information must... M. Söderström, K. Piikki, J. Kihara, J. Mutua, J. Wetterlind

2. Estimating greensnap yield damage with canopy reflectance: a case study

Grain yield reduction caused by storm-induced plant breakage (green snap) occurs often in corn fields. With climate change and an increasing frequency in the occurrence of extreme weather events, it is essential to develop methods that can accurately estimate green snap damage, so growers can be properly compensated by insurance companies for yield loss.  Because plant breakage also affects crop canopy reflectance, this case study aimed to characterize the changes in crop canopy reflectance... G. Dias paiao, T.J. Nigon, F.G. Fernández, C. Cummings, S.L. Naeve

3. Spectral assessment of chickpea morpho-physiological traits from space, air and ground

Chickpea (Cicer arietinum) is an important grain legume in semi-arid regions and water-stress is a major constraint to its productivity.  Area under chickpea cultivation is growing but climate change toward greater aridity results in higher precipitation instability and risks yields.  The ability to assess water potential can support irrigation decisions.  Thus, improved ability to spatially assess plants water status can promote more efficient irrigation.  The current... I. Herrmann, R. Sadeh, A. Avneri, Y. Tubul, R. Lati, S. Abbo, D.J. Bonfil, Z. Peleg

4. CropSAT – opportunities for applications in precision agriculture in Africa

The present paper aims at describing the CropSAT system, a Sentinel-2-based interactive decision support system (DSS) that provides vegetation index (VI) maps free-of-charge all across the globe for different applications in precision agriculture. We summarize research results from the ongoing developmental process and pointing to opportunities for development and application in precision agriculture in Africa. The DSS was initially developed in a research project at the Swedish University of... O. Alshihabi, I. Nouiri, M. Mechri, H. Angar, K. Piikki, J. Martinsson, M. Söderström

5. Fighting Food, Fertilizer, and the Climate Crisis in Africa Through Targeted Nitrogen Management

Food insecurity is a major challenge in Africa which is likely to worsen in the future unless food production in the region is substantially increased to keep up with the food demand of the increasing population. A sufficient amount of nitrogen (N) fertilizer is required for increasing crop yield as N helps convert solar radiation into carbohydrates that drive plant growth.  However, smallholder producers in Africa use a small quantity of fertilizer N not sufficient for plant needs resulting... T. Sapkota, N. Cheerakkollil konath, R. Takele, S. Snapp

6. From Drone to Satellite – Does It Work?

Multispectral drone-sensors are useful for detailed studies of crop characteristics in field trials, e.g. to create prediction models on nitrogen (N) uptake, or even estimates of optimal N rate to apply. To enable wide application of such models, they may be applied in satellite image-based decision support systems for farmers. However, successful transfer of models based on spectral data from one platform to another, requires strong and stable correlation between data from the different sensors.... M. Söderström, K. Persson