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AfPCA Proceedings 2024

Proceedings

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Becker, M
Belaqziz, S
Bouabid, R
Nigon, T.J
Bayad, M
Buttafuoco, G
Baram, S
Taylor, J
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Authors
Taylor, J
Dias Paiao, G
Nigon, T.J
Fernández, F.G
Cummings, C
Naeve, S.L
Abouabdillah , A
Bouabid, R
Aboelkhier, H
Nasrallah, A
Shaddad, S
Buttafuoco, G
Rave, E
Ohana, N
Linker, R
Termin, D
Beryozkin, A
Paz-Kagan, T
Baram, S
Higuti, V.A
Velasquez, A.E
Gasparino, M.V
Magalhães, D.V
Becker, M
Milori, D.M
Aroca, R.V
Bouabid, R
Bouabid, R
Bouabid, R
choukri, M
Laamrani , A
simonneaux , V
Gerard , B
Belaqziz, S
Chehbouni, A
misbah, K
Mcnairn, H
Gerrard, B
Ben-Dor, E
Bayad, M
Topics
Adoption of Precision Agriculture
Proximal and Remote Sensing
Precision Water Management
Precision Nutrient Management
Precision Agriculture for Field and Plantation Crops
Robotics, Automation, and Small Farm Mechanization
Mapping and Geostatistics
Mapping and Geostatistics
Remote and Proximal Sensing
Type
Oral
Poster
Year
2020
2022
2024
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Authors

Filter results11 paper(s) found.

1. Acceptance and Usage of Agri-tech in smallholder Chinese systems: Lesson learnt and implications for other small-holder farming systems.

This paper will present a synthesis of activities performed in a collaborative UK-China project (PAFiC - 2015-2019) aimed at achieving a better understanding of the translation of precision agriculture (PA) technologies into small farms in China. The intent is to outline the farmer-focused approach that was used in the PAFiC project and the tools developed to understand PA adoption trends in China. Finally, we consider the potential implications of the outputs from PAFiC for promoting... J. Taylor

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. A precision irrigation app for smart water management by farmers

In a context of climate change and water scarcity which is globally recognized, Morocco is one of the countries that are facing already insufficient water supply for irrigation in order to sustain productivity and food security. Therefore, there is a strong need for adapting agricultural practices and developing new technologies for efficient and smart irrigation management to make best use of available water and maximize productivity per unit of consumed water. Recent studies have shown that... A. Abouabdillah , R. Bouabid

4. A geostatistical approach to define a soil fertility index based on the main soil macronutrients

Soil fertility is greatly affected by main soil macronutrients such as nitrogen (N), phosphorus (P), and potassium (K). These macronutrients can be used to define a synthetic fertility index to support soil fertilization. The study was aimed to propose a geostatistical approach to define a synthetic fertility index based on factorial cokriging. It consists in quantifying and reducing the spatial variability of multivariate data to only a few factors, related to different spatial scales. Such factors... H. Aboelkhier, A. Nasrallah, S. Shaddad, G. Buttafuoco

5. Using Remote Sensing to Develop Site-Specific Nitrogen Management in Citrus Orchards

Integrating multivariate spatial analysis with the delineation of site-specific management zones (MZ) provides a basis for practical and cost-effective management of water and nitrogen (N) fertilization in precision agricultural (PA). In many crops, measurements of leaf N content are used to assess the plant’s nutritional status and to develop fertilizer application plans for optimal yields. Accordingly, the aim of this study was to develop leaf N content prediction for citrus based on multispectral... E. Rave, N. Ohana, R. linker, D. Termin, A. Beryozkin, T. Paz-kagan, S. Baram

6. LiDAR-based soybean crop segmentation for autonomous navigation

The technological advances in the last few decades have greatly changed agricultural operations. In order to became safer, more profitable, efficient, and sustainable, modern farms have adopted the use of sophisticated technologies, such as robots, sensors, aerial images, and GNSS (Global Navigation Satellite System). These technologies not only increase the crop productivity, but also reduce the wide use of water, fertilisers, and pesticides. Due to this, they reduce costs and negative environmental... V.A. Higuti, A.E. Velasquez, M.V. Gasparino, D.V. Magalhães, M. Becker, D.M. Milori, R.V. Aroca

7. The status of precision agriculture and its adoption in Morocco

Precision agriculture (PA), as an integrated crop management system that uses various tools and technologies for assessing and monitoring soil and crop spatial variability and for implementing site-specific (variable rate) applications, is a concept that becomes nowadays in many developed countries a common practice rather than an innovation. On the contrary, in most developing countries, agriculture is still struggling with the basics of farming and is constrained by many factors, such as land... R. Bouabid

8. Comparison of soil testing and scanning methods for spatial variability assessment of soil fertility: implications for precision agriculture

Understanding spatial variability of soil fertility is a key to variable rate nutrient applications for precision fertilization. The objective of this study was to assess field spatial variability of soil fertility using two approaches, a gridded soil testing and a scanner-based technique. Measurements were performed on a quarter pivot silage corn field of 13 ha. For the first approach, soil samples were taken on a geopositioned grid and were analyzed for the main physicochemical and nutrient... R. Bouabid

9. Spatial variability of soil and tree nutrient status in relation to bitter pit incidence in apple orchards in the Sais plateau, Morocco

Discreet spatial variability of soil fertility affects crop productivity and quality. In general, nutrient deficiencies are the most incriminated. However, excess or unbalanced nutrient can also impact seriously both yield and quality, especially in fruit tree crops. Bitter-pit, a nutrient disorder related to K-Ca-Mg unbalance in apple orchards can cause major loss of apple quality in field, as well as on post-harvest following periods of cold storage. Conventional composite sampling for soil... R. Bouabid

10. Use of Earth Observation Imagery, Advanced Modelling Algorithms and Other Monitoring Systems to Produce Operational Agricultural Annual Crop Inventories for Morocco.

African farmers are facing the challenges of a changing climate, increased temperatures, changes in rainfall patterns, more frequent extreme weather events and reductions in water availability. The digital transformation of the agricultural sector is one of the opportunities that can promote good practices of the African agricultural through  the sharing of information and tools for decision-making, thereby, boost economic growth of our African country. The shift to digital technologies is... M. Choukri, A. Laamrani , V. simonneaux , B. Gerard , S. Belaqziz, A. Chehbouni, K. Misbah, H. Mcnairn

11. High Resolution Mapping of Long-Term Soil Organic Carbon Stocks and Changes in Morocco

Soil organic carbon (SOC) as a major part of the soil organic matter (SOM) is important for soil productivity  stability and climate change mitigation. Current regional SOC maps are not detailed enough and thus, do not support decision-making at farm and landscape and do not track carbon long-term changes. Using large soil dataset, multispectral satellite data, climate data and machine learning , we created a high-resolution  topsoil (0-30cm) map of Morocco and estimated the... B. Gerrard, E. Ben-dor, M. Bayad