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Brokesh, E
Seepersad, S
LENOIR, A
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Authors
Seepersad, G
Sampson, T
Seepersad, S
Goorahoo, D
LENOIR, A
VANDOORNE, B
DUMONT, B
JANBAZIALAMDARI, S
Brokesh, E
Topics
Remote Sensing Applications in Precision Agriculture
Site-Specific Nutrient, Lime and Seed Management
Digital Agriculture Solutions for Soil Health and Water Quality
Type
Poster
Oral
Year
2016
2022
2024
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1. Precision Agriculture Techniques for Crop Management in Trinidad and Tobago: Methodology & Field Layout

Agriculture in Trinidad and Tobago has not advanced at the same rate at which new agricultural technology has been released. This has led to large-scale abandonment of crop lands as challenges posed by labor availability and their agronomic capability could not meet the technological demands for agricultural production, competitiveness and sustainability. There is an urgent need to develop technology-based agriculture models to meet the demands of a modern agricultural sector and to maintain its... G. Seepersad, T. Sampson, S. Seepersad, D. Goorahoo

2. A Low-tech Approach to Manage Within Field Variability – Toward a Territorial Scale Application

Managing within field variability is promising to achieve European objectives of sustainability in crop production. Technological development has allowed to precisely characterize fields heterogeneity in space and time. However, learnings from low adoption of yield maps in west-European context have highlighted the importance of reliable methods to support decisions. Blackmore et al. designed a delineation method considering yield as an integrative variable that reflects spatial and temporal... A. Lenoir, B. Vandoorne, B. Dumont

3. Integrating Collected Field Machine Vibration Data with Machine Learning for Enhanced Precision in Agricultural Operations

In this research, we provide an innovative combination of the Agricultural Vibration Data Acquisition Platform (avDAQ) with cutting-edge machine learning methods for data collecting from agricultural machinery. The avDAQ system, which has a strong connection to a GPS sensor, provides precise spatial information to the vibration data that has been collected, providing an in-depth explanation of the locations of the vibrations. The objective is to fully utilize avDAQ's potential to extract detailed... S. Janbazialamdari, E. Brokesh