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Rhoads, J

Devare, M

Higuti, V.A

Becker, M

Ozou, K.E

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Authors

Vanlauwe, B

Amede, T

Baudron, F

Chivenge, P

Devare, M

Saito, K

Kihara, J

Nangia, V

Pypers, P

Shepherd, K

Vandamme, E

Amouzouvi, K.M

Ozou, K.E

Kolani, L

Amouzouvi, K.A

Sogbedji, J.M

Higuti, V.A

Velasquez, A.E

Gasparino, M.V

Magalhães, D.V

Becker, M

Milori, D.M

Aroca, R.V

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

Topics

Decision Support Systems

Precision Agriculture for Field and Plantation Crops

Robotics, Automation, and Small Farm Mechanization

On-Farm Experimentation

Type

Oral

Year

2020

2022

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Authors

Filter results4 paper(s) found.
1. Excellence in Agronomy 2030: A new CGIAR-wide initiative to deliver agronomy solutions at scale Required increases in crop production and productivity in sub-Saharan Africa (SSA) will not happen without the increased use of appropriate agronomic practices. While several thousand new varieties of nearly all key crops have been produced in the past decade, recent increases in yields in specific countries have only happened when such varieties received the right agro-inputs and management. That said, agronomy is often highlighted as an area that has not delivered impact at scale in SSA, or... B. Vanlauwe, T. Amede, F. Baudron, P. Chivenge, M. Devare, K. Saito, J. Kihara, V. Nangia, P. Pypers, K. Shepherd, E. Vandamme
2. Performance agronomique et économique de différentes stratégies de gestion de la fertilité du sol sous culture de soja (Glycine max L. Merril) dans la zone littorale du Togo. Ce travail a pour objectif de valoriser les émondes de deux légumineuses arbustives et quelques fertilisants organiques pour améliorer la production du soja. Afin de parvenir à cet objectif, les paramètres comme la masse de mille graines, les rendements en gousses, en graines, en fanes du soja et autres ont été déterminés. L’étude a eu lieu à la Station d’Expérimentation Agronomique de Lomé (SEAL)... K.M. Amouzouvi, K.E. Ozou, L. Kolani, K.A. Amouzouvi, J.M. Sogbedji
3. LiDAR-based soybean crop segmentation for autonomous navigation The technological advances in the last few decades have greatly changed agricultural operations. In order to became safer, more profitable, efficient, and sustainable, modern farms have adopted the use of sophisticated technologies, such as robots, sensors, aerial images, and GNSS (Global Navigation Satellite System). These technologies not only increase the crop productivity, but also reduce the wide use of water, fertilisers, and pesticides. Due to this, they reduce costs and negative environmental... V.A. Higuti, A.E. Velasquez, M.V. Gasparino, D.V. Magalhães, M. Becker, D.M. Milori, R.V. Aroca Download paper
4. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way ... Y. Kassim

Filter results4 paper(s) found.

1. Excellence in Agronomy 2030: A new CGIAR-wide initiative to deliver agronomy solutions at scale

Required increases in crop production and productivity in sub-Saharan Africa (SSA) will not happen without the increased use of appropriate agronomic practices. While several thousand new varieties of nearly all key crops have been produced in the past decade, recent increases in yields in specific countries have only happened when such varieties received the right agro-inputs and management. That said, agronomy is often highlighted as an area that has not delivered impact at scale in SSA, or... B. Vanlauwe, T. Amede, F. Baudron, P. Chivenge, M. Devare, K. Saito, J. Kihara, V. Nangia, P. Pypers, K. Shepherd, E. Vandamme

2. Performance agronomique et économique de différentes stratégies de gestion de la fertilité du sol sous culture de soja (Glycine max L. Merril) dans la zone littorale du Togo.

Ce travail a pour objectif de valoriser les émondes de deux légumineuses arbustives et quelques fertilisants organiques pour améliorer la production du soja. Afin de parvenir à cet objectif, les paramètres comme la masse de mille graines, les rendements en gousses, en graines, en fanes du soja et autres ont été déterminés. L’étude a eu lieu à la Station d’Expérimentation Agronomique de Lomé (SEAL)... K.M. Amouzouvi, K.E. Ozou, L. Kolani, K.A. Amouzouvi, J.M. Sogbedji

3. LiDAR-based soybean crop segmentation for autonomous navigation

The technological advances in the last few decades have greatly changed agricultural operations. In order to became safer, more profitable, efficient, and sustainable, modern farms have adopted the use of sophisticated technologies, such as robots, sensors, aerial images, and GNSS (Global Navigation Satellite System). These technologies not only increase the crop productivity, but also reduce the wide use of water, fertilisers, and pesticides. Due to this, they reduce costs and negative environmental... V.A. Higuti, A.E. Velasquez, M.V. Gasparino, D.V. Magalhães, M. Becker, D.M. Milori, R.V. Aroca

Download paper

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

... Y. Kassim