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AfPCA Proceedings 2024

Proceedings

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Rátonyi, T
Dzomeku, P.K
D. Burow, M
Elame, F
Dossa, B.M
Esilaba, A.O
ENDRIS, S
Denton, O.A
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Authors
Rátonyi, T
Ragán, P
Széles, A
Fejér, P
Harsányi, E
Bácskai, I
Ragán, P
Rátonyi, T
Széles, A
Fejér, P
Bácskai, I
Harsányi, E
Ragán, P
Harsányi, E
Rátonyi, T
Széles, A
Fejér, P
Bácskai, I
Yamungu, A.B
Egeru, A
Majaliwa, M.J
Dossa, B.M
Denton, O.A
Ogunkunle, A
Esilaba, A.O
Agbemabiese, Y.K
Abubakari, P
Dzomeku, P.K
Shaibu, I
Kassim, Y
Richard Oteng-Frimpong, R
Kanvenaa Puozaa, D
Kofi Sie, E
Abdul Rasheed, M
Abdul Rashid, I
Danquah, A
A. Akogo, D
Rhoads, J
Hoisington, D
D. Burow, M
Balota, M
Chebli, Y
El Otmani, S
Cabaraux, J
Chentouf , M
Keli, A
Elame, F
Topics
Mapping and Geostatistics
On-Farm Experimentation
Climate Smart Agriculture
Adoption of Precision Agriculture
Precision Water Management
On-Farm Experimentation
Precision Livestock Management
Type
Poster
Oral
Year
2020
2022
2024
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Authors

Filter results9 paper(s) found.

1. Preparation of a precision ripping plan using manual vertical penetrometer measurements

Large weight power engines and tools used in agriculture significantly contribute to the formation of compacted and thickening layers starting from the soil surface. There are suitable deep ripping technologies to eliminate harmful soil compaction, which are extremely energy and cost demanding. In precision agriculture, it is possible to treat spatially delimited unfavourable soil patches. The bulk density (g/cm3) of the soil was calculated from the soil resistance and moisture content... T. Rátonyi, P. Ragán, A. Széles, P. Fejér, E. Harsányi, I. Bácskai

2. A cheap alternative to data management and creating of yield maps of small-plot field experiments

Long-term field trials provide an opportunity to examine the long-term effects of crop production factors and the effect of different crop years can also be analysed. In the long-term field trial, spatial representation of the data belonging to each plot might be necessary for the purpose of soil heterogeneity analysis, working hypothesis, or even presentation. Researchers dealing with long-term field trials usually store the measurement data for a given experiment in Excel or in a database of... P. Ragán, T. Rátonyi, A. Széles, P. Fejér, I. Bácskai, E. Harsányi

3. Soil mapping with the VERIS U3 soil scanner in a precision farm in Hungary

Currently, field crop production faces constant challenges. Extreme climatic conditions, deteriorating circumstances on the field have a negative impact on the quantity and quality of available yields, and the ever-changing agro-economic environment makes the profitability of the sector uncertain. Precision crop production means site-specific agricultural cultivation tied to geographical coordinates. Modern strip tillage technology based on precision technology for crops with wide row spacing... P. Ragán, E. Harsányi, T. Rátonyi, A. Széles, P. Fejér, I. Bácskai

4. 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

5. LAND DEGRADATON RISK ASSESSMENT AT A SITE IN AFIJIO LOCAL GOVERNMENT AREA OF OYO STATE, NIGERIA

Soils are considered non –renewable and it is a limited resource therefore the continuous use of land without appropriate management practices leads to land degradation in the long run. Land degradation is the decline in soil quality caused by natural factors or, more often, by improper use/management usually for agricultural, pastoral or urban purposes. This study aims to map the soils while also assessing the state of land degradation in Afijio Local government area of Oyo state. The study...

6. VALIDATION OF CLIMATE SMART AGRICULTURAL TECHNOLOGIES FOR IMPROVED CROP YIELDS IN SEMI-ARID LANDS IN KENYA

Kenya’s Vision 2030 economic strategy identifies agriculture as one of the key sectors to drive the Country’s economy. However, the agricultural sector faces various challenges. For instance, the sector is predominantly rain-fed due large coverage of arid and semi-arid lands (ASALs) which is approximately 84% of the total land area. Due to challenges associated with rain-fed agriculture in Kenya, the ASALs have the lowest development indicators and the highest incidence of... A.O. Esilaba

7. Modelling Fertigation and Micro-Climate Parameters for Greenhouse Tomato (Solanum Lycopersicum L.)

Amidst the hiking price of fertilizer and projected water scarcity across the world, it is imperative to explore the interaction between fertilizer, irrigation and genotype notwithstanding the micro-climate parameters so as to maximize yield while protecting the environment. The Decision Support System for Agrotechnology Transfer (DSSAT) is a model which employs all these input factors to help predict yield and thereby make an informed decision.  The study sort to calibrate and validate the... Y.K. Agbemabiese, P. Abubakari, P.K. Dzomeku, I. Shaibu

8. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way

... Y. Kassim

9. Monitoring Grazing Goats' Behavior Using Sensors and Satellite Remote Sensing

The recent development of new methods for remotely observing animal behavior using electronic sensors such as global positioning systems (GPS) and three-axis accelerometers to monitor and record behavior at different spatial and temporal scales presents real opportunities for better understanding and interpreting the behaviors of grazing animals. The goal of this study was to distinguish different behavioral categories of grazing goats by combining GPS collars, accelerometers, and satellite remote... Y. Chebli, S. El Otmani, J. Cabaraux, M. Chentouf , A. Keli, F. Elame