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| Filter results5 paper(s) found. |
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1. Soil mapping with the VERIS U3 soil scanner in a precision farm in HungaryCurrently, 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 TogoResearch 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. Public Financing in Agricultural Research Development and Rural Poverty Alleviation: Evidence from West African Economic and Monetary Union StatesThe paper examines the effects of public financing for agricultural research and development on rural poverty based on the variable farm income in the West African Economic and Monetary Union (WAEMU) States. To conduct this analysis, a dynamic panel comprising seven (07) WAEMU States has been built based on secondary data from World Bank, African Development Bank (AfDB) and Food and Agriculture Organization (FAO) databases for the period 2000 to 2016. To correct the endogeneity generated ... O. Dah, T. Bassolet |
4. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear RegressionTraditional 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 |
5. Impact of Organic Soil Amendments on Fungal Population and Germination of Maize Seeds in Lead Contaminated Soil... A. Aduramigba-modupe |