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Batuman, O
Bosompem, M
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Authors
Bosompem, M
Kwarteng, J.A
Ntifo-Siaw, E
Bosompem, M
Kwarteng, J.A
Acquah, H.D
Bosompem, M
Zhou, C
Ampatzidis, Y
Guan, H
Liu, W
de Oliveira Costa Neto, A
Kunwar, S
Batuman, O
Topics
Global Proliferation of Precision Agriculture and its Applications
Profitability, Sustainability and Adoption
Small Holders and Precision Agriculture
Robotics and Automation with Row and Horticultural Crops
Type
Oral
Poster
Year
2010
2016
2018
2024
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1. Is Precision Agriculture Feasible In Cocoa Production In Ghana? : The Case Of “Cocoa High Technology Programme” In The Eastern Region Of Ghana

  Ghana is the second largest producer of cocoa in the world supplying 25% of the world’s cocoa, thus cocoa production contributes significantly to the economy of ... M. Bosompem, J.A. Kwarteng, E. Ntifo-siaw

2. Determinants of Ex-ante Adoption of Precision Agriculture Technologies by Cocoa Farmers in Ghana

The study was to identify the best predictors of cocoa Farmers willingness to adopt future Precision Agriculture Technology (PAT) Development in Ghana. Correlational research design was used. The target population was all cocoa farmers who benefited from Cocoa High Technology Programme (an initiative of distributing free fertilizer by government to cocoa farmers) in Ghana. Multistage sampling technique was used to select 422 out of 400,000 cocoa farmers in the six (6) out of the seven (7) cocoa... M. Bosompem, J.A. Kwarteng, H.D. Acquah

3. Prospects and Challeges to Precision Agriculture Technologies Development in Ghana: Scientists' and Extension Agents' Perspectives.

The main objective of the research was to examine the prospects and challenges of developing and implementing precision agriculture (PA) in cocoa production in Ghana. A census of cocoa research scientists and a survey of cocoa extension agents (CEAs) in Ghana were taken. Five major challenges they perceived to pose serious challenges to the development and implementation of future Precision Agriculture Technologies (PATs), in their decreasing order of importance, were (a) farmer-demographic... M. Bosompem

4. Agrosense: AI-enabled Sensing for Precision Management of Tree Crops

Monitoring the tree inventory and canopy density and height frequently is critical for researchers and farm managers. However, it is very expensive and challenging to manually complete these tasks weekly. Therefore, a low-cost and artificial intelligence (AI) enhanced sensing system, Agrosense, was developed for tree inventory, canopy height measurement, and tree canopy density classification in this study. The sensing system mainly consisted of four RGB-D cameras, two Jetson Xavier NX, and one... C. Zhou, Y. Ampatzidis, H. Guan, W. Liu, A. De oliveira costa neto, S. Kunwar, O. Batuman