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Roach, J
Majdi, M
Nawar, S.M
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Authors
Majdi, M
Benjamin, D
Marie-France, D
Crawford, K
Upadhyaya, S
Dhillon, R
Rojo, F
Roach, J
Nawar, S.M
Mouazen, A.M
George, D
Manfield , A
Topics
Food Security and Precision Agriculture
Remote Sensing Applications in Precision Agriculture
Proximal Sensing in Precision Agriculture
Type
Poster
Oral
Year
2012
2014
2016
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Filter results3 paper(s) found.

1. Bayesian Methods for Predicting LAI and Soil Moisture

Crop models describe the growth and development of a crop interacting with soil, climate, and management... M. Majdi, D. Benjamin, D. Marie-france

2. An Inexpensive Aerial Platform For Precise Remote Sensing Of Almond And Walnut Canopy Temperature

Current irrigation practices depend largely on imprecise applications of water over fields with varying degrees of heterogeneity. In most cases, the amount of water applied over a given field is determined by the amount the most water-stressed part of the field needs. This equates to over-watering most of the field in order to satisfy the needs of one part of the field. This approach not only wastes resources, but can have a detrimental effect on the value of that crop. A system to... K. Crawford, S. Upadhyaya, R. Dhillon, F. Rojo, J. Roach

3. Comparing Predictive Performance of Near Infrared Spectroscopy at a Field, Regional, National and Continental Scales by Using Spiking and Data Mining Techniques

The development of accurate visible and near infrared (vis-NIR) spectroscopy calibration models for selected soil properties is a crucial step for variable rate application in precision agriculture. The objective of the present study was to compare the prediction performance of vis-NIR spectroscopy at local, regional, national and continental scales using data mining techniques including spiking. Fresh soil samples collected from farms in the UK, Czech Republic, Germany, Denmark and the Netherlands... S.M. Nawar, A.M. Mouazen, D. George, A. Manfield