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AfPCA Proceedings 2024

Proceedings

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Mohamed, Z
MECHRI, M
Mohamed, E.S
Minaleshoa, M
Vasava, H
WILLIAM, L
Majaliwa, M.J
Madukwe, K.D
Majozi, N
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Authors
Biswas, A
Fu, Y
Taneja, P
Lin, S
Daggupati, P
Vasava, H
HAJRI, R
REZGHUI, M
MECHRI, M
BEN YOUNES , M
Yamungu, A.B
Egeru, A
Majaliwa, M.J
Dossa, B.M
Belal , A
Abd El-Kader, S
Mamdouh , B
A El-Shirbeny, M
Abdellatif1, M
Jalhoum , M
Zahran, M
Mohamed, E.S
Ikuenobe, E.C
Madukwe, K.D
Ekhator, F
Aduramigba, V.M
Osayande, P.E
Solomon, S
Okoye, N.M
Minaleshoa, M
SOGBEDJI, J
WILLIAM, L
LARE, M
SEKAYA, A
SIKA , K
TAGBA, E
MECHRI, M
Majozi, N
Boughattas, N
Marwa, K
Mohamed, Z
Sawsen, A
Soumaya, A
Hafedh, H
Imen, H
Youssef, T
Topics
Proximal and Remote Sensing
Precision Water Management
Climate Smart Agriculture
Decision Support Systems
Precision Agriculture for Field and Plantation Crops
Data Mining and Engineering
Economics of Precision Agriculture
Plenary Session
Proximal and Remote Sensing
Precision Nutrient Management
Type
Oral
Poster
Year
2020
2022
2024
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Authors

Filter results10 paper(s) found.

1. Estimating soil organic carbon from cell phone images

Soil organic matter (SOM) is considered as the backbone of soil health and soil quality. Thus, its’ estimation is critical to support the development of management decision including precision agriculture. To overcome challenges of laborious, rather expensive and time-consuming laboratory measurements, recent advances in image acquisition systems provided a new dimension of image-based SOM prediction. However, challenges remain in using soil images taken directly in the field due to variable... A. Biswas, Y. Fu, P. Taneja, S. Lin, P. Daggupati, H. Vasava

2. 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

3. SIMULATION OF CASSAVA YIELD UNDER DIFFERENT CLIMATIC SCENARIOS IN KILEMBWE, SOUTH-KIVU PROVINCE EASTERN DR CONGO

Climate variability and change are projected to significantly impact agricultural production across Africa. This study assessed the effects of climate variability and change on cassava yield in Kilembwe, South-Kivu province Eastern DR Congo. The assessment relies on the DSSAT crop model simulation of cassava under current and future climate. The period 1980–2010 was used to represent the baseline, while future projection covers three periods including the near future (2010–2039), mid-century... A.B. Yamungu, A. Egeru, M.J. Majaliwa, B.M. Dossa

4. 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 developed... A. Belal , S. abd el-kader, B. Mamdouh , M. A el-shirbeny, M. abdellatif1, M. Jalhoum , M. Zahran, E.S. Mohamed

5. 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, Oyo... E.C. Ikuenobe, K.D. Madukwe, F. Ekhator, V.M. Aduramigba, P.E. Osayande, S. Solomon, N.M. Okoye

6. Geo-statistical Prediction of Spatial Distribution of Salt-affected Soils of Meki-Zeway agricultural areas: Actionable baseline information for practical implementation of precision agriculture in similar salinity/sodicity prone areas in Ethiopia

Salinity and sodicity-induced soil degradation are major soil property related environmental constraint with severe negative impacts on productivity and sustainability of both rainfed and irrigated agriculture in arid and semi-arid lowlands of Ethiopia. The spatial prediction, data bases creation and preparation of actionable digital soil salinization/sodiciation pattern maps has a special importance to enable site-specific management system leading to the establishment and execution of Digital... M. Minaleshoa

7. 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 (SEAL)... J. Sogbedji, L. William, M. Lare, A. Sekaya, K. Sika , E. Tagba

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. Application of Remote Sensing Technologies for Monitoring within Field Soil and Crop Growth Variability

... N. Majozi

10. Optimizing Durum Wheat Nitrogen Nutrition Index (NNI) Prediction Through Sentinel-2 Vegetation Index Integration

Nitrogen is crucial for durum wheat growth and productivity, but excess or insufficient levels can harm both the environment and farmers' finances. Remote sensing offers rapid, cost-effective, and nondestructive ways to assess crop nutrition, with vegetation indices (VIs) indicating plant health. This study aims to enhance the accuracy of durum wheat nitrogen status prediction by investigating modified formulations of Nitrogen Nutrition Index (NNI) coupled with various vegetation indices (VIs),... N. Boughattas, K. Marwa, Z. Mohamed, A. Sawsen, A. Soumaya, H. Hafedh, H. Imen, T. Youssef