Current status and future directions of precision aerial application for site-specific crop management in the USA

Lan, Yubin; Thomson, Steven J.; Huang, Yanbo; Hoffmann, W. C.; Zhang, Huihui

doi:10.1016/j.compag.2010.07.001

Cited by 94 publications

(72 citation statements)

References 19 publications

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“…Therefore, it is urgent to improve the mechanization of wheat disease and pest insect control in China, enhance the capacity to prevent and control fulminant and large-scale plant diseases and insect pests, and satisfy the demand for labor force in rural areas [4] . Aerial application, commonly called crop dusting, involves spraying crops with fertilizers, pesticides, fungicides, and other crop protection materials from agricultural aircraft [5] . In Japan and South Korea where there are a lot of hills but small tillable field for each farmer, manned planes of fixed wings are not suitable, and thus mini unmanned helicopters are mainly used there in agricultural aviation.…”

Section: Introductionmentioning

confidence: 99%

Droplet deposition and efficiency of fungicides sprayed with small UAV against wheat powdery mildew

Qin¹,

Xue²,

Zhang³

et al. 2018

International Journal of Agricultural and Biological Engineering

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Small unmanned aerial vehicle (UAV), a timely and effective pesticide sprayer, can be used to spray pesticide in a high efficiency without harming the crop, and is especially suitable for spraying for small farms and hills in Asian countries. In recent years, it has been chosen as a key and new technique for pesticide application. This paper studied the impact of UAV (UAV N-3) spraying parameters (different working height and different spraying concentrations) on the deposition of droplets on the wheat canopy and the prevention of powdery mildew. Water sensitive paper was used as the sampler to collect the pesticide droplets and image processing software Deposit Scan was used to compute the coverage rate of droplets on the wheat top layer to acquire the proportional distribution of droplets on the wheat lower layer. The experimental results showed the impact of spraying height on the distribution of droplets on the wheat upper layer was quite significant, when the spraying height was 5.0 m and the spraying speed was 4 m/s, the coverage rate of droplets on the wheat lower layer was the largest, as it was 45.6% of that on the upper layer, the droplets distribution was the most uniform, and the coefficient of variation was 33.13%. 450 g/hm 2 (dosage registered) of triadimefon SC (44%) was sprayed by the UAV, the control efficiency reached 55.1% after applying which was better than 20% and 40% of dosage decreased for each hectare, and the applying effect (35.6%) of 20% dosage decreased for each hectare had no significant difference from the applying effect (34.6%) applied by a knapsack-type electric sprayer. At 10 d after applying, the prevention effect realized by UAV was lower than that realized by a knapsack-type electric sprayer, and it may be correlated to the meteorological condition and water amount in the pesticide sprayed. Thus, when UAV spraying was chosen to prevent wheat powdery mildew under a serious disease situation, an auxiliary agent for spraying could be added to prolong the retention of pesticide on the plant surface to extend the pesticide effect. This study can provide a reference for the optimized design, performance upgrade and reasonable application of small UAV sprayers. Keywords: unmanned aerial vehicle (UAV), spraying pesticide, parameters optimization, fungicide deposition, wheat powdery mildew, control effect DOI: 10.25165/j.ijabe.20181102.3157Citation: Qin W C, Xue X Y, Zhang S M, Gu W, Wang B K. Droplet deposition and efficiency of fungicides sprayed with small UAV against wheat powdery mildew. Int J Agric & Biol Eng, 2018; 11(2): 27-32.

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Section: Introductionmentioning

confidence: 99%

Droplet deposition and efficiency of fungicides sprayed with small UAV against wheat powdery mildew

Qin¹,

Xue²,

Zhang³

et al. 2018

International Journal of Agricultural and Biological Engineering

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“…The main steps of PA are data collection, field-variability mapping, decision-making, and the application of the management practices (Zhang and Kovacs, 2012). Remote sensing techniques can be used in the first three steps of the workflow (Copenhaver, 1998;Lan, Thomson, Huang, Hoffmann, & Zhang, 2010;Stafford, 1999;Warren & Metternicht, 2005), especially when the field variability maps are elaborated or updated to aid farmers to adapt the appropriate strategy that is based on variable management practices within a field according to the site conditions. The information needed to apply PA is provided by new technologies, such as geographic information systems (GIS), global positioning system (GPS), remote sensing, yield monitoring devices, and machinery that is able to apply the inputs in a variable-rate manner (Seelan, Laguette, Casady, & Seielstad, 2003).…”

Section: Introductionmentioning

confidence: 99%

Multi-temporal imaging using an unmanned aerial vehicle for monitoring a sunflower crop

Agüera-Vega

Ramírez

Saiz

et al. 2015

Biosystems Engineering

171

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“…According to the US Census Bureau, the US population is projected to grow 34% by the year 2060 [1]. With an increasing population, the need to improve production and management of agricultural products has become a necessity [2]. Providing farmers with inexpensive cutting-edge technologies that can assist them in managing their crops will help them run their business more efficiently and make Idaho specialty crops more competitive in the market.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Different Irrigation Methods for an Apple Orchard Using an Aerial Imaging System

Bulanon

Lonai

Skovgard

et al. 2016

IJGI

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Regular monitoring and assessment of crops is one of the keys to optimal crop production. This research presents the development of a monitoring system called the Crop Monitoring and Assessment Platform (C-MAP). The C-MAP is composed of an image acquisition unit which is an off-the-shelf unmanned aerial vehicle (UAV) equipped with a multispectral camera (near-infrared, green, blue), and an image processing and analysis component. The experimental apple orchard at the Parma Research and Extension Center of the University of Idaho was used as the target for monitoring and evaluation. Five experimental rows of the orchard were randomly treated with five different irrigation methods. An image processing algorithm to detect individual trees was developed to facilitate the analysis of the rows and it was able to detect over 90% of the trees. The image analysis of the experimental rows was based on vegetation indices and results showed that there was a significant difference in the Enhanced Normalized Difference Vegetation Index (ENDVI) among the five different irrigation methods. This demonstrates that the C-MAP has very good potential as a monitoring tool for orchard management.

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Current status and future directions of precision aerial application for site-specific crop management in the USA

Cited by 94 publications

References 19 publications

Droplet deposition and efficiency of fungicides sprayed with small UAV against wheat powdery mildew

Droplet deposition and efficiency of fungicides sprayed with small UAV against wheat powdery mildew

Multi-temporal imaging using an unmanned aerial vehicle for monitoring a sunflower crop

Evaluation of Different Irrigation Methods for an Apple Orchard Using an Aerial Imaging System

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