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AfPCA Proceedings 2024

Proceedings

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MOHSINE, A
Miller, M
Mary, I.K
Nyéki, A
MECHRI, M
Neményi, M
Nouiri, I
Mechri, M
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Authors
HAJRI, R
REZGHUI, M
MECHRI, M
BEN YOUNES , M
Alshihabi, O
Nouiri, I
Mechri, M
Angar, H
Piikki, K
Martinsson, J
Söderström, M
Awosiyan, O.E
Mary, I.K
Adesina, F.A
BENAOUDA, H
MOHSINE, A
KAILIL, A
Crouch, J
Shephard, K
Miller, M
Collinson, J
Singh, P
Pypers, P
van den Bosch, R
van Beek, C
Chernet, M
Aston, S
van Beek, C
Chernet, M
Aston, S
Miller, M
Collinson, J
Shephard, K
Crouch, J
Terhoeven-Urselmans, T
Ambrus, B
Teschner, G
Neményi, M
Nyéki, A
MECHRI, M
MECHRI, M
Alshihabi, O
Angar, H
Nouiri, I
Landolsi, M
Söderström, M
Persson, K
Phillips, S
Topics
Precision Water Management
Decision Support Systems
Mapping and Geostatistics
Applications for UAVs
Plenary
Robotics, Automation, and Small Farm Mechanization
Plenary Session
Precision Nutrient Management
Type
Oral
Poster
Year
2020
2022
2024
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Authors

Filter results9 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 under... R. Hajri, M. Rezghui, M. Mechri, M. ben younes

2. 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

3. DIGITAL MAPPING OF EXCHANGEABLE CATIONS IN SOILS OF SOUTHWESTERN NIGERIA

Soil acidity and low exchangeable cation are the major soil fertility challenges resulting in low crop productivity in Southwest Nigeria. Digital soil mapping is an effective way to achieve precision agriculture. However, most of the research work on soil exchangeable cations as soil information was not geo-referenced, The study created geo-database and developed a digitized map of soil exchangeable cations Indicating the spatial distribution in soils of southwestern Nigeria. Secondary data... O.E. Awosiyan, I.K. Mary, F.A. Adesina

4. Autonomous Hexacopter Spraying drones for plants protection

Abbes KAILIL1, Hassan BENAOUDA2, Abdelhakim MOHCINE3, 1 Eng. Doctor in aerospace engineering, Moroccan Industry Services & Engineering SARL, Morocco. 2 Eng. Doctor in Agriculture, INRA, Morocco. 3 Engineer in agriculture, ONCA, Morocco.   Farming technologies have considerably... H. Benaouda, A. Mohsine, A. Kailil

5. Mapping African soils at 30m resolution - iSDAsoil - Western Time Zones

“iSDAsoil” combines remote sensing data and other geospatial information with carefully stratified point samples subjected to spectral analysis and traditional wet chemistry reference analysis. State of the art machine learning techniques were used to create digital maps of 17 agronomically important soil properties at 3 depths, including estimates of uncertainty. iSDAsoil is designed to encourage sharing and we hope that the owners of other soil and agronomic data, in industry... J. Crouch, K. Shephard, M. Miller, J. Collinson, P. Singh, P. Pypers, R. Van den bosch, C. Van beek, M. Chernet, S. Aston

6. Mapping African soils at 30m resolution - iSDAsoil - Eastern Time Zones

“iSDAsoil” combines remote sensing data and other geospatial information with carefully stratified point samples subjected to spectral analysis and traditional wet chemistry reference analysis. State of the art machine learning techniques were used to create digital maps of 17 agronomically important soil properties at 3 depths, including estimates of uncertainty. iSDAsoil is designed to encourage sharing and we hope that the owners of other soil and agronomic data, in industry... C. Van beek, M. Chernet, S. Aston, M. Miller, J. Collinson, K. Shephard, J. Crouch, T. Terhoeven-urselmans

7. 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 developed... B. Ambrus, G. Teschner, M. Neményi, A. Nyéki

8. Decision-Making Tools in Soil Management and Plant Nutrition On-Farm Research and Observation Plot: Between Reality and Challenges

In this presentation, we will address a number of decision-making tools and assess their relevance and limitations for the Mediterranean and Tunisia's agricultural conditions. Decision-making tools can be classified, based on the scale, to different levels, ranging from national and regional scale to farm scale. On a large scale, an agricultural policy can be drawn based on the governmental agricultural plans, and soil maps can be adopted as a decision-making tool and thus guide support in... M. Mechri

9. Assessment of Nitrogen Fertilization in Tunisian Wheat Production Using Proximal and Remote Sensing

The cereal sector in Tunisia covers wide areas in the country from sub-humid to semi-arid zones; most of the fields are rainfed. The sector is suffering from climate change impacts in term of rainfall amount and pattern. Water management policy in the country prioritizes allocating surface water to domestic uses than irrigation. On the other hand irrigation using groundwater (e.g. in Kairouan) continue to over use the water table with an average drawdown of 5 m/year. Because of this, low efficiency... M. Mechri, O. Alshihabi, H. Angar, I. Nouiri, M. Landolsi, M. Söderström, K. Persson, S. Phillips