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AfPCA Proceedings 2022

Proceedings

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Decision Support Systems
Panel
Policy Support Innovations
Economics of Precision Agriculture
Precision Agriculture for Field and Plantation Crops
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Authors
A El-Shirbeny, M
AGNEROH, A
ALE GONH-GOH, A
AMOUZOU, K
Abd El-Kader, S
Abdellatif1, M
Aduaramigba, V
Aduramigba, V.M
Aidara, O
Alshihabi, O
Amao, P.A
Amede, T
Amouzouvi, K.A
Amouzouvi, K.M
Amujoyegbe, B
Angar, H
Balaghi, R
Balemi, T
Baram, S
Basil, E.C
Basil, R.T
Baudron, F
Belal, A
Beryozkin, A
Biswas, A
CHEHBOUNI, A
Cabaraux, J
Chebli, Y
Chemiming'wa, G
Chemining’wa, G.N
Chentouf, M
Chivenge, P
Denton, O
Devare, M
Dhiba, D
Ekhator, F
El Otmani, S
GUEMOURIA, A
Gebeyehu, S
Gobezie, T.B
Hornick, J
IKEBE, M
Ikuenobe, E.C
Jalhoum, M
KHECHBA, K
Kihara, J
Kinama, J.M
Kioko, W
Kioko, W
Kioko, W
Kioko, W
Kitonyo, O
Kitonyo, O.M
Kolani, L
Kouassi, H
LAAMRANI, A
LARE, M
LARE, M
LARE, M
LARE, M
LEE, J
LOTSI, K
Linker, R
MATUMURA, I
MORIMOTO, E
Madukwe, K.D
Mahyou, H
Mamdouh, B
Martinsson, J
Mechri, M
Misbah, K
Mohamed, E.S
Moi, P.E
Murori, R
NONAMI, K
Nangia, V
Nouiri, I
OKAFOR, B.N
OKAFOR, B.N
Ohana, N
Okoye, N.M
Osayande, P.E
Oyedele, D
Ozou, K.E
Paz-Kagan, T
Piikki, K
Pypers, P
Rave, E
SATO, S
SEKAYA, A
SIKA, K
SOGBEDJI, J
SOGBEDJI, J
SOGBEDJI, J
SOGBEDJI, M.J
Saito, K
Shepherd, K
Sogbedji, J.M
Solomon, S
Söderström, M
TAGBA, E
Termin, D
Vandamme, E
Vanlauwe, B
WILLIAM, K
WILLIAM, L
Zahran, M
Topics
Decision Support Systems
Precision Agriculture for Field and Plantation Crops
Economics of Precision Agriculture
Policy Support Innovations
Type
Oral
Poster
Year
2020
2022
Home » Topics » Results

Topics

Filter results24 paper(s) found.

1. Excellence in Agronomy 2030: A new CGIAR-wide initiative to deliver agronomy solutions at scale

Required increases in crop production and productivity in sub-Saharan Africa (SSA) will not happen without the increased use of appropriate agronomic practices. While several thousand new varieties of nearly all key crops have been produced in the past decade, recent increases in yields in specific countries have only happened when such varieties received the right agro-inputs and management. That said, agronomy is often highlighted as an area that has not delivered impact at scale in SSA, or... B. Vanlauwe, T. Amede, F. Baudron, P. Chivenge, M. Devare, K. Saito, J. Kihara, V. Nangia, P. Pypers, K. Shepherd, E. Vandamme

2. Maximisation de l’efficience d’utilisation de l’azote par la tomate(Solanum lycopersicum L.) sur les ferrasols au Sud du Togo

Maximiser l'efficience d'utilisation de l'Azote (N) en culture de tomate s'impose pour améliorer le rendement et la rentabilité de la culture. Il a été mené sur trois ans, six cultures de tomate réparties sur deux périodes (septembre à janvier 2017-2019 et de février à mai 2018-2020) sur un sol ferralitique à la Station d'Expérimentations Agronomiques de Lomé suivant un dispositif ex... M. Lare, M.J. Sogbedji

3. Just a moment; the need for streamlining precision agriculture data in Africa

Precision agriculture (PA) data sources in the era of digital agriculture are diverse in terms of the range of technology options and the types of data they generate. These include proximal sensors, unmanned aerial vehicle (UAV), satellites, farm machinery mounted sensors and robotics to generate static data or real time information (e.g., yield monitoring). Government institutions, scientists and private sectors take the lion’s share in generating PA data at innovation, validation and ... T.B. Gobezie, A. Biswas

4. Mapping of soil nutrients variability in some plantation crops in Abeokuta, Ogun State Nigeria.

The activities of man on the soil and the undulating topography have great effects on soil nutrients variability. For near accurate application of nutrients in precision agriculture in order to reduce wastage of resources, this research was conducted to acquaint the research farm of the institute with the nutrient variability at specific locations. A detailed soil survey was carried out at the Teaching and Research Farms of the Federal University of Agriculture, Abeokuta, Ogun State Nigeria. ... E.C. Basil, R.T. Basil

5. Decision Support System for Precision Agriculture management Case study : El Salihiya –east Nile delta, Egypt

.Soil is a complex mixture of living organisms and organic material, along with soil minerals. the main objective  of this work is develop a new methods to improve the agricultural management .The current study relies on developing a decision-making model for agricultural operations to manage potato crops in the El Salihiya area using field data,laboratory analysis and field sensor measurements. The precision agriculture decision support system entitled (EGYPADS) was designed and develop... A. Belal , S. abd el-kader, B. Mamdouh , M. A el-shirbeny, M. abdellatif1, M. Jalhoum , M. Zahran, E.S. Mohamed

6. Evaluation of on –farm oil palm yield parameters in Niger Delta region of Nigeria

Evaluation of on –farm oil palm yield parameters in Niger Delta region of Nigeria   *Ekhator F1., Osayande P1.,  Aduramigba-Modupe V.O2., Solomon O1., and  Ikuenobe C.E1. 1Nigerian Institute for Oil Palm Research (NIFOR) P.M.B 1030, Benin City, Edo State 2Institute of Agricultural Research and Training, Obafemi Awolowo University, Ibadan, O... E.C. Ikuenobe, K.D. Madukwe, F. Ekhator, V.M. Aduramigba, P.E. Osayande, S. Solomon, N.M. Okoye

7. Development of Canopy Mapping System of Asian pears (Pyrus pyrifolia Naka) Using Terrestrial Laser Scanning

In this paper, the canopy mapping system (CMS) of Asian pears for estimating yield during Bud thinning and Pruning operations using point cloud data was proposed. Bud thinning and Pruning in Asian pear (Pyrus pyrifolia Naka) is necessary to ensure quality and yield but is time-consuming and heavily depends on work knowledge. This study described a method of estimating the number of fruits through the length of a branch based on remote sensing. The CMS would be useful to support more efficient... E. Morimoto, J. Lee, K. Nonami, I. Matumura, M. Ikebe, S. Sato

8. USE OF DRONE IN PRECISION AGRICULTURE IN SENEGAL

In Senegal more precisely in the valley of the Senegal River, we have introduced drones for use in precision agriculture. These Drones are used in phytosanitary treatment and fertilizer spreading. Thus we also test in the monitoring of plots, in particular to detect deficiencies in fertilizer, stresses and diseases. We have started with some producers in the treatment of rice plots with post-emergence herbicide and the results have been satisfactory, even going as far as a reduction in the do... O. Aidara

9. 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

10. La fertilité indigène du sol : un élément catalyseur de l’agriculture de précision

Dans le contexte actuel de la dégradation des ressources naturelles et des problèmes de disponibilité et d'accessibilité des intrants agricoles, l'agriculture de précision dont le point d'entrée est la connaissance de la fertilité endogène du sol s'impose. Des essais soustractifs ont été conduits pendant deux ans (2018-2019) à la Station d'Expérimentations Agronomiques de l'Univers... K. William, J. Sogbedji, M. Lare

11. EFFECT OF INTERCROPPING SORGHUM WITH COWPEA AND NITROGEN APPLICATION ON GROWTH AND YIELD OF SORGHUM (Sorghum bicolor (L.) MOENCH)

Despite the development of improved varieties, the yield of sorghum has remained significantly low in dryland environments due to low soil fertility and inappropriate cropping practices. However, implementation of precision agriculture (PA) within the context of companion cropping with legumes and fine-tuning the supply of fertilizer nitrogen (N) has the potential to increase sorghum yield in these environments. Nonetheless, the effect sorghum-cowpea compatibility, fertilizer N use and their ... P.E. Moi , O.M. Kitonyo, G.N. Chemining’wa, J.M. Kinama

12. Application of precision agriculture technologies in grazing: example of goats browsing in forest rangelands of Northern Morocco

The aim of this study was to characterize patterns of grazing behavior of goats in a Mediterranean forest rangeland. We conducted a one-year study in the Chefchaouen region, Northern Morocco, during two contrasting seasons (spring and summer) using new technological tools. Eight goats were simultaneously fitted with GPS collars and sensors for 3 days during each season. A calibration study and classification tree analysis were used to predict other grazing activities of goats (eating, walking... Y. Chebli, S. El otmani, M. Chentouf, J. Hornick, J. Cabaraux

13. Effect of Plant Population and Nitrogen Rate on Growth and Yield of Two Pre-release rice varieties in Kenya

The application of precision agriculture (PA) through the optimization of plant population and management of fertilizer nitrogen (N) can increase rice yield. Current rice (Oryza sativa) plant population and fertilizer nitrogen (N) management guidelines in  Kenya were developed from research conducted about three decades. These management guidelines might still be robust and could be applied to recently released as well as close-to- release varieties. However, the yield potential o... W. Kioko, W. Kioko, W. Kioko, W. Kioko, O. Kitonyo, G. Chemiming'wa, S. Gebeyehu, R. Murori

14. Performance agronomique et économique de différentes stratégies de gestion de la fertilité du sol sous culture de soja (Glycine max L. Merril) dans la zone littorale du Togo.

Ce travail a pour objectif de valoriser les émondes de deux légumineuses arbustives et quelques fertilisants organiques pour améliorer la production du soja. Afin de parvenir à cet objectif, les paramètres comme la masse de mille graines, les rendements en gousses, en graines, en fanes du soja et autres ont été déterminés. L’étude a eu lieu à la Station d’Expérimentation Agronomique de Lomé ... K.M. Amouzouvi, K.E. Ozou, L. Kolani, K.A. Amouzouvi, J.M. Sogbedji

15. The Yield Gap In Africa: Closing the gap through soil attributes management using remote sensing & Precision Agriculture Approaches at the field scale

In Africa, which has the most population growth in the world, the agricultural system is characterized by the predominance of smallhoder farmers. In order to cope with intense population growth and increased production costs through yield gap closing. Yield gap is defined as the difference between potential yield and actual yield and is an inevitable method to improve yields while decreasing the environmental impacts of agricultural systems. The variability of yields is strongly controlled by... K. Khechba, A. Laamrani, A. Chehbouni, D. Dhiba, K. Misbah

16. 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 ... E. Rave, N. Ohana, R. linker, D. Termin, A. Beryozkin, T. Paz-kagan, S. Baram

17. Fertilizer Micro-dosing on Growth and Vegetative Yield of Fluted Pumpkin (Telfairia occidentalis Hook. f)

The study evaluated growth and vegetative response of fluted pumpkin (Telfairia occidentalis Hook. f) to levels and time of micro-dosing Urea fertilizer. The experiment was conducted in two growing seasons of late and early cropping seasons of 2017 and 2018 respectively at the Teaching and Research Farm of Obafemi Awolowo University. The experiment was a factorial laid out in a Randomized Complete Block Design (RCBD) with four replications involving seasons, levels of fertilizer (0, ... P.A. Amao, B. Amujoyegbe, D. Oyedele

18. Mapping of micronutrients status in soils under multivarietal Citrus sinensis production for precision agriculture

Citrus production in Nigeria is below the world average; and this is caused among other things by poor soil management. The situation is further acerbated by blanket fertilizer application and low application of precision in soil fertility management. A study was carried out on a 34 year old multi varietal citrus orchard under sweet orange (Citrus sinensis) to determine the current soil fertility status and variability of micronutrients. Soil samples were collected at a sampling dept... B.N. Okafor, B.N. Okafor, V. Aduaramigba, O. Denton

19. Decision Support System in Agriculture

Descriptive integrated models for water resource management are not limited to hydrological variables, but integrate environmental socio-economic subsystems and study the interactions and feedbacks between the various interacting subsystems.    Agriculture is a major water resource management sector that takes economic factors into account.    In dynamic system models, we try to look for the optimal economic policies to achieve sustainability by introdu...

20. Crop monitoring and forecasting system based on cloud data and capabilities

Various systems for crop monitoring & forecasting, using satellite images and meteorological data, exist around the world. Their complexity differs from one system to another, according to the temporal and spatial scale and according to the objectives assigned to them. Among the well known are the European Monitoring Agricultural ResourceS system, the USDA system of the Foreign Agricultural Service, the Moroccan CGMS system, the Belgian CGMS system and the Chinese CropWatch system.&n...

21. Using Decision Support Tool for Site Specific Nutrient Management in Maize Production in Ethiopia: The case of Nutrient Expert

There are huge variabilities among farmers in terms of crop management practices, soil types and fertility status as well as climatic conditions all of which affects crop fertilizer requirement and yield. Despite these variations, farmers are using blanket/regional fertilizer recommendations, which does not consider the above-mentioned variabilities. As a consequence, farmers are either practicing over fertilization or under fertilization, both of which have undesirable consequences. Therefor... T. Balemi

22. Caractérisation architecturale pour la prédiction du potentiel de production des tètes de clones de Coffea Caenophora pierre ex a. froehner

Le café demeure jusqu’à ce jour une culture très importante dans le monde et particulièrement en Côte d’Ivoire. Cette culture est avec les changements climatiques confrontée à de nombreux facteurs qui limitent sa production. Parmi ces facteurs les plus problématiques sont : la baisse de la fertilité des sols, les insectes et les performances agronomiques de l’espèce et/ou de la variété cu... H. Kouassi

23. Recommandation De Formules De Fertilisation Site-spécifique Pour La Production Du Maïs Dans La Région Des Savanes Du Togo

Dans le contexte actuel de la dégradation des terres agricoles et des difficultés de disponibilité et d'accès aux intrants agricoles en particulier les engrais, la maximisation de l'efficience d'utilisation des nutriments en nutrition des plantes devient plus que jamais une nécessité. Nous avons conduit en 2020 sous culture de maïs (Zea mays L.), des essais soustractifs à base de l'azote (N), du phosphore (P) et du potassiu... M. Lare, J. Sogbedji, K. Lotsi, K. Amouzou, A. Ale gonh-goh, A. Agneroh

24. Maximisation De L’efficience D’utilisation Des Nutriments : Recommandation De Fertilisation à La Carte Pour Le Maïs Sur Les Ferralsols Du Sud-togo

L'amélioration de la nutrition des plantes à travers l'agriculture de précision devient incontournable pour l'optimisation de l'entreprise agricole et la protection de l'environnement. Nous avons conduit pendant la grande saison culturelle de 2019 et 2020, sous culture de maïs (Zea mays L.), des essais soustractifs à base de l'azote (N), du phosphore (P) et du potassium (K) à la station d'expérimentations agronomiques ... J. Sogbedji, L. William, M. Lare, A. Sekaya, K. Sika , E. Tagba