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AfPCA Proceedings 2024

Proceedings

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Robotics, Automation, and Small Farm Mechanization
Precision Planting/Harvesting
Geospatial Data and Mapping
Precision Water Management
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Authors
Abouabdillah, A
Ambrus, B
BELAQZIZ, S
BEN YOUNES, M
Belal, A.A
Bouabid, R
Boulet, G
CHEHBOUNI, A
Chehbouni, A
EL HACHIMI, C
Ekici, S
El-Shirbeny, M
Er-Raki, S
Ezzahar, J
HAJRI, R
KHABBA, S
KHARROU, M
Kabir, M
Khabba, S
Le page, M
MECHRI, M
Mohamed, E.A
Musinguzi, P
Ndlovu, S
Neményi, M
Nyéki, A
Ojambo, E
REZGHUI, M
Rabiu Garba, A
Sibanda, M
Simonneaux, V
Teschner, G
Zahran, M.A
Zewdie Gebrekidan, B
Topics
Precision Water Management
Robotics, Automation, and Small Farm Mechanization
Geospatial Data and Mapping
Precision Planting/Harvesting
Type
Oral
Poster
Year
2020
2022
2024
Home » Topics » Results

Topics

Filter results12 paper(s) found.

1. Crop water requirements, biomass and grain yields estimation for Sulla (Hedysarum coronarium L.) using cropwat in semi-arid regions of Tunisia

Dwindling water resources and increasing food requirements require greater efficiency in water use, both in rainfed and in irrigated agriculture. Regulated deficit irrigation provides a means of reducing water consumption while minimizing adverse effects on yield. With the current water shortage in Africa improving crop water use is vital especially in the arid and semi-arid regions.  Models can play a useful role in developing practical recommendations for optimizing crop production und... R. Hajri, M. Rezghui, M. Mechri, M. ben younes

2. Irrigation Water Management for Potato crop under Pivot Irrigation System using Remote sensing techniques

 When water application records low efficiency, the water losses increased. Irrigation systems often ignore soil variability and water applied uniformly on the field; hence, the water losses amplified. Which means more water application, more energy demand, and more money expenses. El-Salhia region contains a big agricultural farm located at the South Eastern of Nile delta. The field NO 34 was chosen to be investigated under the pivot central sprinkler irrigation system which cultivated ...

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. Monitoring irrigation water use at large scale irrigated areas using remote sensing in water scarce environment

Increasing pressure on available water resources in semi-arid region will affect the availability of water for irrigated agriculture. In this context, adoption of innovative and cost-effective tools for water management and analysis of water use patterns in irrigated areas is required for an efficient and sustainable use of water resources.  This study aims to evaluate a remote sensing-based approach which allows estimation of the temporal and spatial distribution of crop evapo... M. Kharrou, V. Simonneaux, M. Le page, S. Er-raki, G. Boulet, J. Ezzahar, S. Khabba, A. Chehbouni

5. A reinforcement learning based approach for efficient irrigation water management

Due to population growth and the effects of climate change, most of the world's regions are threatened by water scarcity, especially in Africa and the Mediterranean region. In Morocco, agriculture consumes more than 85% of available water. Thus, to preserve water resources, the rational management of irrigation water is necessary. In this context, recent technological progress and the emergence of artificial intelligence could provide an effective decision support tool for the rational an... C. El hachimi, S. Belaqziz, S. Khabba, A. Chehbouni

6. Self-developed Small Robot for Tomato Plants Detection

A mobile (robot) measuring station for tomato plant detection has been developed, equipped with different sensors and a self-developed hardware and software background. The development aims are the applications in precision crop production: artificial intelligence- based detection, imaging, data collection, automation, and remote sensing. The robot is fault- free in field conditions and is therefore a key development tool for precision farming and digital agriculture. The measurement system d... B. Ambrus, G. Teschner, M. Neményi, A. Nyéki

7. Potentials of Unmanned Aerial Vehicles (UAVs) for the Nigerian Agriculture

The continuous development of technology is driving the invention of new machineries such as the Unmanned Aerial Vehicles (UAVs), also known as “drones”. The UAVs have become much more popular within the last decade for its significant roles in agriculture among other industries, yet their applications in Nigeria are yet to be appreciated. Therefore, the present study reviewed the characteristics and multiple uses of UAVs in agriculture and their potentials for the Niger... M. Kabir, S. Ekici

8. Detecting the Impact of Hail Damage on Maize Crops in Smallholder Farms Using Unmanned Aerial Vehicles Derived Multispectral Data

Natural disasters such as hailstorms are now frequent and negatively impact smallholder farmers' livelihoods. In these events, there is a need for robust and innovative techniques for monitoring the extent of their damage in smallholder croplands to optimise production. In this regard, this study sought to evaluate the utility of drone-derived multispectral data in estimating crop health elements (i.e., equivalent water thickness (EWT), chlorophyll content, and leaf area index (LAI) of ma... M. Sibanda

9. The Future of Farming: Bringing Biophotonics and Machine Learning to Revolutionize Agriculture

The future of farming is set to be revolutionized by biophotonics and machine learning. Biophotonics is the study of the interaction of light and living matter, and machine learning is a form of artificial intelligence that allows computers to learn from data. Together, these two technologies will allow for more precise and efficient farming, as well as greater yields and less wastage. Biophotonics will allow for more precise targeting of crops with pesticides and herbicides, as well as more ... S. Ndlovu

10. Modeling of the Optimal Parameters, Improvement and Performance Evaluation of Marc Engine Driven Common Bean (Phaseolus Vulgaris L.) Thresher in Ethiopia

This executive summary provides an overview of the research study conducted on modeling the optimal parameters, improvement, and performance evaluation of the engine-driven bean thresher developed by the Melkassa Agricultural Research Center (MARC) in Ethiopia. The study aimed to enhance the efficiency and productivity of the bean thresher, contribute to sustainable agricultural practices, promote technology adoption, and support the economic development of the agricultural sector. The re... B. Zewdie gebrekidan

11. Assessing of Soil Nutrients Using Laboratory and Remote Sensing Methods in Northern Guinea Savannah

Introduction Soil nutrients are essential for plant growth and development, making their assessment crucial for sustainable agriculture and environmental management. The northern Guinea savannah region, known for its agricultural potential, requires periodic monitoring of soil nutrient status to ensure optimal crop yields and maintain soil fertility. This study aims to evaluate the effectiveness of laboratory and remote sensing techniques in assessing soil nutrients in this region.... A. Rabiu garba

12. Toward Precision Agriculture by Assessing FAO Soil Data Accuracy with Localised Soil Mapping in Mid-Western Uganda

Proper soil mapping remains a major input for efforts that aim at developing context specific soil and crop management.  Soil maps often enable policy makers and other agricultural extension programs to establish the suitability of land for various production systems. Currently, most soil maps have been developed basing in the FAO soil data bases at a scale of 1:50,000 yet farmers and other local land users require fine scales to guide decision in the use of fertilizers and selection of ... P. Musinguzi, E. Ojambo