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AfPCA Proceedings 2024

Proceedings

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Precision Planting/Harvesting
Economics of Precision Agriculture
On-Farm Experimentation
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Authors
Abdelfattah, M.A
Aduramigba-Modupe, A
Amin, M.E
Belal, A.A
Bácskai, I
Fejér, P
Harsányi, E
Lare, M
Mahmoud, A.G
Mohamed, E.S
Nabil, M
Ragán, P
Rátonyi, T
Sogbedji, J.M
Széles, A
Topics
Precision Planting/Harvesting
On-Farm Experimentation
Economics of Precision Agriculture
Type
Poster
Oral
Year
2022
2020
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Topics

Filter results4 paper(s) found.

1. 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

2. Tomato yield and economic performance under organic and mineral fertilizer applications in coastal Togo

Research efforts towards enhancing vegetables production are still needed in Togo. We assessed tomato (Solanum lycopersicum) yield and associated economic returns under three soil fertility management strategies in a 3-yr period study. Three tomato varieties were used including:  MONGAL-F1 (V1), SUMO-F1 (V2) and COBRA 26-F1 (V3). The fertilization regimes were: no fertilizer application as the control (F1), application of 200 kg of N15P15K15 + 10... J.M. Sogbedji, M. Lare

3. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear Regression

Traditional potato growth models have a number of flaws, i.e., the cost of data collection, quality of input data, and the absence of spatial information in some cases. To address these challenges, we created a multiple linear regression model (MLRM) that uses the multi-temporal Sentinel-2 derived indices to predict potato yield. Along the growing season (from October 2019 to February 2020) eight Sentinel-2 imageries were collected, afterwards, the normalized difference vegetation index ... M.E. Amin, M.A. Abdelfattah, E.S. Mohamed, A.A. Belal, M. Nabil, A.G. Mahmoud

4. Impact of Organic Soil Amendments on Fungal Population and Germination of Maize Seeds in Lead Contaminated Soil

... A. Aduramigba-modupe