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Amapu, I

ANNABI, M

Menya, J.M

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Authors

Aduramigba-Modupe, V

Amapu, I

Walsh, M

Scott, B

BARBOUCHI, M

BAHRI, H

SOUISSI, A

CHEIKH M'HAMED, H

ANNABI, M

Menya, J.M

Musinguzi, P

Mwanjalolo, J.M

Topics

Precision Nutrient Management

Mapping and Geostatistics

Type

Oral

Year

2020

2022

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Authors

Filter results3 paper(s) found.
1. Methodology for Assessing Nutrient Status of Nigeria Croplands: AfSIS/NiSIS Pilot Project - Pathway for Precision Agriculture Mapping Inherently low soil fertility, nutrient imbalances and accelerating degradation constitute threats to precision agriculture (PA), agricultural productivity and ecosystem services in sub-Saharan Africa (Nigeria inclusive). Presently, the geographical extent of existing nutrient constraints, location specific trends and opportunities for managing these over time are highly uncertain. The AfSIS/NiSIS project assessment aims to provide spatially explicit observations, measurements and predictions... V. Aduramigba-modupe, I. Amapu, M. Walsh, B. Scott
2. Soil organic carbon mapping in Tunisia: comparison of different interpolation methods Soil organic carbon (SOC) stock is an important carbon pool in terrestrial ecosystems. It plays an important role in agricultural productivity and is often used as a key indicator of soil quality whether for soil fertility or climate regulation. SOC stocks are difficult to estimate due to the large spatial variability. In this way, many different techniques have been conducted for predicting and mapping SOC content. However, although numerous techniques are in use, there is still debate on which... M. Barbouchi, H. Bahri, A. Souissi, H. Cheikh M'hamed, M. Annabi Download paper
3. 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

Filter results3 paper(s) found.

1. Methodology for Assessing Nutrient Status of Nigeria Croplands: AfSIS/NiSIS Pilot Project - Pathway for Precision Agriculture Mapping

Inherently low soil fertility, nutrient imbalances and accelerating degradation constitute threats to precision agriculture (PA), agricultural productivity and ecosystem services in sub-Saharan Africa (Nigeria inclusive). Presently, the geographical extent of existing nutrient constraints, location specific trends and opportunities for managing these over time are highly uncertain. The AfSIS/NiSIS project assessment aims to provide spatially explicit observations, measurements and predictions... V. Aduramigba-modupe, I. Amapu, M. Walsh, B. Scott

2. Soil organic carbon mapping in Tunisia: comparison of different interpolation methods

Soil organic carbon (SOC) stock is an important carbon pool in terrestrial ecosystems. It plays an important role in agricultural productivity and is often used as a key indicator of soil quality whether for soil fertility or climate regulation. SOC stocks are difficult to estimate due to the large spatial variability. In this way, many different techniques have been conducted for predicting and mapping SOC content. However, although numerous techniques are in use, there is still debate on which... M. Barbouchi, H. Bahri, A. Souissi, H. Cheikh M'hamed, M. Annabi

Download paper

3. 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