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Adombilla, R

ALE GONH-GOH, A

Gatto, S

Goshu, T.A

Ali, A

Karim, A

Graff, N

Kumar, P

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Authors

Karad, S.C

Shinde, G.U

Kumar, P

Kayad, A

Sozzi, M

Pirotti, F

Marinello, F

Sartori, L

Gatto, S

MOUHAMADOU, L

Sogbedji, J

LOTSI, K

Amouzou, K

ALE GONH-GOH, A

Agneroh, T

LARE, M

SOGBEDJI, J

LOTSI, K

AMOUZOU, K

ALE GONH-GOH, A

AGNEROH , A

Goshu, T.A

Ludemann, C

Dobermann, A

Graff, N

Sela, S

van Loon, M

Hijbeek, R

van Ittersum, M

Karim, A

Adombilla, R

Topics

Robotics, Automation, and Small Farm Mechanization

Satellite Imagery

Adoption of Precision Agriculture

Economics of Precision Agriculture

Climate Smart Agriculture

Precision Nutrient Management

Plenary Session

Precision Water Management

Type

Oral

Year

2020

2022

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Authors

Filter results8 paper(s) found.
1. A review on Sensor based robotics agriculture: Improving traditional Agriculture Practices Agribot could be a mechanism designed to reduce the labor of farmers by increasing the speed and accuracy of the work. Elementary functions concerned in farming i.e. plowing the sphere, sowing of seeds and covering the seeds with soil. Agribot is associate degree autonomous mechanism that provides the power for choices for offered techniques. Fruit Picker robots, autonomous tractor sprayers, this... S.C. Karad, G.U. Shinde, P. Kumar Download paper
2. Monitoring Corn (Zea mays) Yield using Sentinel-2 and Machine Learning for Precision Agriculture Applications Currently, there is a growing demand to apply precision agriculture (PA) management practices at agricultural fields expecting more efficient and more profitable management. One of PA principal components for site-specific management is crop yield monitoring which varies temporally between seasons and spatially within-field. In this study, we investigated the possibility of monitoring within-field variability of corn grain yield in a 22ha field located in Ferarra, North Italy. Archived yield data... A. Kayad, M. Sozzi, F. Pirotti, F. Marinello, L. Sartori, S. Gatto Download paper
3. Analyse De La Variabilité Spatiale Des Rendements De Maïs (Zea Mays L.) Dans Les Régions Des Savanes Et Centrale Du Togo L'agriculture de précision s'impose au Togo. Une étude a été menée dans 5 préfectures du Togo, dont 2 dans la région des Savanes (Oti et Kpendjal) et 3 dans la région Centrale (Sotouboua, Tchamba et Tchaoudjo) avec un total de 20 producteurs en 2021. d'analyser la variation spatiale du rendement en grain du maïs (variété Ikenne) au sein de chaque région sous deux pratiques de gestion agricoles incluant :... M. Lare, J. Sogbedji, K. Lotsi, K. Amouzou, A. Ale gonh-goh, A. Agneroh Download paper
4. Recommandation De Formules De Fertilisation Site-spécifique Pour La Production Du Maïs Dans La Région Des Savanes Du Togo Dans le contexte actuel de la dégradation des terres agricoles et des difficultés de disponibilité et d'accès aux intrants agricoles en particulier les engrais, la maximisation de l'efficience d'utilisation des nutriments en nutrition des plantes devient plus que jamais une nécessité. Nous avons conduit en 2020 sous culture de maïs (Zea mays L.), des essais soustractifs à base de l'azote (N), du phosphore (P) et du potassium... M. Lare, J. Sogbedji, K. Lotsi, K. Amouzou, A. Ale gonh-goh, A. Agneroh Download paper
5. Effects of Legume Break Crops on Yield, Nitrogen Use Efficiency and Economy of Maize Production in Western Oromia, Ethiopia: a Review Prolonged monocropping of maize lacking appropriate soil fertility management is affecting soil fertility and maize production in Western Oromia. The use of legume break crops improved performance of subsequent maize. The biological N2-fixation of legumes as precursor crops reduced the amount of nitrogen fertilizer applied to maize. Higher mean grain yield of maize was obtained following faba bean without and with rhizobia inoculation than maize after maize. The total nitrogen uptake of different... T.A. Goshu, T.A. Goshu, T.A. Goshu Download paper
6. The Global Crop Nutrient Removal Database (Gcnrd): Development, Initial Analysis and Identification of Current Data Gaps Improved understanding of the factors affecting nutrient uptake can enable production optimization, increased nutrient use efficiencies, reduced environmental footprints, and overall higher economic returns for farmers. Crop uptake is affected by genetics, soil, weather, agronomic practices, and their interactions. As such, understanding the way crop nutrient uptake varies across different regions and production environments requires the coverage of various parameters, and necessitates collaboration... C. Ludemann, A. Dobermann, N. Graff, S. Sela, M. Van loon, R. Hijbeek, M. Van ittersum
7. IA Algorithm for Plant Counting: Palm Oil Trees Example Counting and estimating plants can sometimes be a real challenge. In this presentation we will see a concrete example of the application of UAV imagery and AI applied to palm cultivation in order to count the plants on a given area. ... A. Karim
8. Irrigation Regimes and Mulching Effect on Fruit Yield and Water Stress Index of Tomato (Solannum Lycopersicum L.) Varieties in the Guinea Savannah Agroecology of Ghana ... R. Adombilla

Filter results8 paper(s) found.

1. A review on Sensor based robotics agriculture: Improving traditional Agriculture Practices

Agribot could be a mechanism designed to reduce the labor of farmers by increasing the speed and accuracy of the work. Elementary functions concerned in farming i.e. plowing the sphere, sowing of seeds and covering the seeds with soil. Agribot is associate degree autonomous mechanism that provides the power for choices for offered techniques. Fruit Picker robots, autonomous tractor sprayers, this... S.C. Karad, G.U. Shinde, P. Kumar

Download paper

2. Monitoring Corn (Zea mays) Yield using Sentinel-2 and Machine Learning for Precision Agriculture Applications

Currently, there is a growing demand to apply precision agriculture (PA) management practices at agricultural fields expecting more efficient and more profitable management. One of PA principal components for site-specific management is crop yield monitoring which varies temporally between seasons and spatially within-field. In this study, we investigated the possibility of monitoring within-field variability of corn grain yield in a 22ha field located in Ferarra, North Italy. Archived yield data... A. Kayad, M. Sozzi, F. Pirotti, F. Marinello, L. Sartori, S. Gatto

Download paper

3. Analyse De La Variabilité Spatiale Des Rendements De Maïs (Zea Mays L.) Dans Les Régions Des Savanes Et Centrale Du Togo

L'agriculture de précision s'impose au Togo. Une étude a été menée dans 5 préfectures du Togo, dont 2 dans la région des Savanes (Oti et Kpendjal) et 3 dans la région Centrale (Sotouboua, Tchamba et Tchaoudjo) avec un total de 20 producteurs en 2021. d'analyser la variation spatiale du rendement en grain du maïs (variété Ikenne) au sein de chaque région sous deux pratiques de gestion agricoles incluant :... M. Lare, J. Sogbedji, K. Lotsi, K. Amouzou, A. Ale gonh-goh, A. Agneroh

Download paper

4. Recommandation De Formules De Fertilisation Site-spécifique Pour La Production Du Maïs Dans La Région Des Savanes Du Togo

Dans le contexte actuel de la dégradation des terres agricoles et des difficultés de disponibilité et d'accès aux intrants agricoles en particulier les engrais, la maximisation de l'efficience d'utilisation des nutriments en nutrition des plantes devient plus que jamais une nécessité. Nous avons conduit en 2020 sous culture de maïs (Zea mays L.), des essais soustractifs à base de l'azote (N), du phosphore (P) et du potassium... M. Lare, J. Sogbedji, K. Lotsi, K. Amouzou, A. Ale gonh-goh, A. Agneroh

Download paper

5. Effects of Legume Break Crops on Yield, Nitrogen Use Efficiency and Economy of Maize Production in Western Oromia, Ethiopia: a Review

Prolonged monocropping of maize lacking appropriate soil fertility management is affecting soil fertility and maize production in Western Oromia. The use of legume break crops improved performance of subsequent maize. The biological N2-fixation of legumes as precursor crops reduced the amount of nitrogen fertilizer applied to maize. Higher mean grain yield of maize was obtained following faba bean without and with rhizobia inoculation than maize after maize. The total nitrogen uptake of different... T.A. Goshu, T.A. Goshu, T.A. Goshu

Download paper

6. The Global Crop Nutrient Removal Database (Gcnrd): Development, Initial Analysis and Identification of Current Data Gaps

Improved understanding of the factors affecting nutrient uptake can enable production optimization, increased nutrient use efficiencies, reduced environmental footprints, and overall higher economic returns for farmers. Crop uptake is affected by genetics, soil, weather, agronomic practices, and their interactions. As such, understanding the way crop nutrient uptake varies across different regions and production environments requires the coverage of various parameters, and necessitates collaboration... C. Ludemann, A. Dobermann, N. Graff, S. Sela, M. Van loon, R. Hijbeek, M. Van ittersum

7. IA Algorithm for Plant Counting: Palm Oil Trees Example

Counting and estimating plants can sometimes be a real challenge. In this presentation we will see a concrete example of the application of UAV imagery and AI applied to palm cultivation in order to count the plants on a given area. ... A. Karim

8. Irrigation Regimes and Mulching Effect on Fruit Yield and Water Stress Index of Tomato (Solannum Lycopersicum L.) Varieties in the Guinea Savannah Agroecology of Ghana

... R. Adombilla