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Unmanned drones and potato spacing

Citation

Ara, I, Unmanned drones and potato spacing, 1st International Agri-food Tech Event: evokeAg and AgriFutures Australia, 9-20 February 2019, Melbourne, Australia (2019) [Conference Extract]


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Abstract

Potato is considered as one of the most important food source and 18.6 million ha area was dedicated for potato cultivation globally. In 2016, world production of potatoes was 377 million tonnes including China, India, Russia, Ukraine and the United States. Per capita potato production is still the highest in Europe (especially eastern and central Europe) but the most rapid expansion over the past few decades was observed in Asia pacific including Australia.

In Australia, the importance of potato is significant in terms of both commercial and domestic use purposes, with a farm gate value of $54 million in 2016. Available literature indicates that plant spacing uniformity may affect potato yield globally. Though technology advances potato production in many countries, however there is a lack of technology which is capable to measure spacing uniformity at planting stage, and later its impact on actual potato yield. Over a farm (either small or large scale), growers are facing challenges to follow a standard method that helps to measure uniformity at planting stage over the past. Spacing uniformity effects on yield needs to be assessed for better management.

In general, plant growth is considered as a good sign of profitable harvest. However, there is no techniques currently available to monitor potato spacing as well as plant growth during the growing season. Precision agriculture has made a good progress on grain industry, however it has little or no implication in understating horticulture, particularly its application for tuber type vegetable, like potato.

Item Details

Item Type:Conference Extract
Keywords:unmanned drones, potato production, spacing uniformity, Visible Atmospheric Resistant Index, yield variability
Research Division:Agricultural and Veterinary Sciences
Research Group:Agriculture, Land and Farm Management
Research Field:Agricultural Spatial Analysis and Modelling
Objective Division:Plant Production and Plant Primary Products
Objective Group:Horticultural Crops
Objective Field:Vegetables
UTAS Author:Ara, I (Dr Iffat Ara)
ID Code:135029
Year Published:2019
Deposited By:TIA - Research Institute
Deposited On:2019-09-23
Last Modified:2019-10-04
Downloads:2 View Download Statistics

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