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AfPCA Proceedings 2024

Proceedings

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Lawal, B
Tsado, P.A
El-Shirbeny, M
Yamungu, A.B
Amao, P
Abdelatif , M
Musinguzi, P
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Authors
Yamungu, A.B
Egeru, A
Majaliwa, M.J
Dossa, B.M
Musinguzi, P
Lawal, B
Adeboye, M.K
Tsado, P.A
Belal, A
Elsayed , M
Jalhoum, M.E
Abdelatif , M
Hendawy , E
Emam, M
Zahran , M
El-Shirbeny, M
Mohamed , E.A
Belal , A.A
Zahran, M.A
Amujoyegbe, B.J
Amao, P
Oyedele, D
Akinpelu, B
Opolot, E
Besigye, D
Musinguzi, P
Alou, I.N
Basamba, T.A
Olupot, G
Menya, J.M
Musinguzi, P
Mwanjalolo, J.M
Akena, R
Musinguzi, P
Odong, P.C
Olupot, G
Odong, T.L
Mwije, A
Musinguzi, P
Alou, I.N
Basamba, T.A
Ebanyat, P
Opolot, E
Musinguzi, P
Ojambo, E
Topics
Climate Smart Agriculture
Precision Nutrient Management
Precision Agriculture for Small Holders
Adoption of Precision Agriculture
Precision Water Management
Precision Water Management
Mapping and Geostatistics
On-Farm Experimentation
Precision Agriculture for Tree Crops
Geospatial Data and Mapping
Type
Poster
Oral
Year
2020
2022
2024
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Authors

Filter results11 paper(s) found.

1. 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

2. Precision Farming Using Spatial Soil Variability Maps for Improved Banana Nutrient Management in Uganda

Banana is one of the most important crops for millions of farmers in Uganda. However, its production has remained low due to limited understanding of the variability of soils for targeted nutrient management. Measures that improve the understanding of soils are instrumental to guide precision nutrient management in highly heterogeneous cropping systems. A study was conducted on a Ferralsol in central parts of Uganda to assess the spatial variability of Soil Organic Carbon (SOC), Total nitrogen... P. Musinguzi

3. Spatial variability and mapping of selected soil quality indicators for precision farming at a smallholding level in Minna, Nigeria

Smallholding farmers in Nigeria still practice blanket application of fertilizers, without giving consideration to spatial variations in soil properties across their fields. Understanding of spatial variability in soil properties is essential for precision farming, especially in this era of resource scarcity and high cost of fertilizers. This study was carried out to assess and map the spatial variability in selected soil quality indicators in a smallholder farm in Minna, North-central Nigeria,... B. Lawal, M.K. Adeboye, P.A. Tsado

4. Precision Farming Technology to Increase Soil and Crop Productivity in Egypt Using Remote Sensing and GIS

Precision farming or site-specific land management is a new approach for development the agriculture processes to increase the soil and crop productivity with saving efforts and costs. Precision farming includes many techniques such as Global Position Systems (GPS), Geographic Information Systems (GIS), Remote Sensing (RS), Yield Monitors, Internet of Things (IOT), Variable Rate Application (VRA), Yield Mapping, Site-Specific Management Zones (SSMZ) and Crop Modeling. SSMZ delineation can be improved... A. Belal, M. Elsayed , M.E. Jalhoum, M. abdelatif , E. Hendawy , M. Emam, M. Zahran

5. 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 with...

6. Nutrient Quality Studies of Fluted Pumpkin (Telfairia Occidentalis Hook. F) Leaves as Influence by Fertilizer Micro-dosing and Time

The nutrient qualities of vegetables have been noted to be affected by agronomic practices. The study evaluated the effect of fertilizer micro-dosing and time of application on nutrient quality of fluted pumpkin. The field experiment was carried out during 2017/2018 cropping season at the Teaching and Research Farm, Obafemi Awolowo University (O.A.U), Ile-Ife, situated within the forest zone (latitude 070 28’N and longitude 040 33’East and 224 m above sea level). The experiment was...

7. Soil Moisture Sensing for Increased Water Use Efficiency and Crop Yields in Furrow Irrigated Systems: a Case of Mubuku Irrigation Scheme in Uganda

Water and nutrient use efficiencies remain low in most of the irrigated systems in developing countries, undermining crop productivity in these areas. This is partly due to lack of precise and site-specific information to guide irrigation scheduling. In most cases information on soil properties and crop water requirements is lacking and thus irrigation scheduling is done on rotational basis whether the crop needs water or not. Consequently, the amount of water stored in soil root zone for crop... E. Opolot, D. Besigye, P. Musinguzi, I.N. Alou, T.A. Basamba, G. Olupot

8. Comparative Assesement of Interpolation Techniques in Predicting Soil Properties on a Sloping Pasture Land Under Fallow in a Ferralsol in Uganda

Soil variability is a major challenge in application of mineral fertilizers in Sub-Saharan Africa (SSA). Use of soil fertility maps can effectively guide the use of mineral or organic fertilizers or fertilizers. Interpolation techniques are widely used in the formulation of these fertility maps. The precision of spatial interpolation techniques for predicting unmeasured values have been reported by various researchers but there are cconflicting findings regarding the relative performance of these... J.M. Menya, P. Musinguzi, J.M. Mwanjalolo

9. Agronomic Yield Response of Lowland Rice Varieties to Nutrient Application Under Flooded Irrigation in Northern Uganda

Globally, flooded irrigation is a major water management method used to boost rice production. In Uganda, flooded irrigation is being promoted for lowland rice farming amidst the increasing threat of climate change and variability. Use of mineral fertilizer and improved varieties during the rice cropping calender is a measure towards intensive and precision farming for increased yields. However, the response of lowland rice varieties to fertilization with a defined cropping calendar remain now... R. Akena, P. Musinguzi

10. A Synopsis of Water and Nutrient Requirements of Hass Avocado for Uganda and Sub-saharan Africa Practitioners

Hass avocado production is increasing in Uganda and sub-Saharan Africa (SSA) to tap into the lucrative market especially in Western Europe, China, Japan, and Russia. However, there is limited information about its water and nutrient requirements in end-user-friendly formats especially in Uganda and SSA. We consolidated the scanty information about water and nutrient requirements of Hass avocado and made necessary recalculations and unit conversions to aid meaningful uptake of the information by... P.C. Odong, G. Olupot, T.L. Odong, A. Mwije, P. Musinguzi, I.N. Alou, T.A. Basamba, P. Ebanyat, E. Opolot

11. 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 suitable... P. Musinguzi, E. Ojambo