Precision Livestock Farming Technologies

Andonović, Ivan; Michie, Craig; Cousin, Philippe; Janati, Ahmed; Pham, Congduc; Diop, Mamour

doi:10.1109/giots.2018.8534572

Cited by 25 publications

(14 citation statements)

References 4 publications

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“…and these send location data to the farmer. There are two major forms of application of geo-fencing in agriculture: in the first, the sensors simply notify the farm owner when animals have grazed outside a predefined perimeter [44]. In this system, the farmer has to actively go muster the animals back into the perimeter.…”

Section: Geo-fencing and Virtual Perimetermentioning

confidence: 99%

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Sky-Farmers: Applications of Unmanned Aerial Vehicles (UAV) in Agriculture

Yinka-Banjo¹,

Ajayi²

2020

Autonomous Vehicles

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Unmanned aerial vehicles (UAVs) are unpiloted flying robots. The term UAVs broadly encompasses drones, micro-, and nanoair/aerial vehicles. UAVs are largely made up of a main control unit, mounted with one or more fans or propulsion system to lift and push them through the air. Though initially developed and used by the military, UAVs are now used in surveillance, disaster management, firefighting, border-patrol, and courier services. In this chapter, applications of UAVs in agriculture are of particular interest with major focus on their uses in livestock and crop farming. This chapter discusses the different types of UAVs, their application in pest control, crop irrigation, health monitoring, animal mustering, geo-fencing, and other agriculture-related activities. Beyond applications, the advantages and potential benefits of UAVs in agriculture are also presented alongside discussions on business-related challenges and other open challenges that hinder the wide-spread adaptation of UAVs in agriculture.

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Section: Geo-fencing and Virtual Perimetermentioning

confidence: 99%

“…In a bid to improve on them, Assisted-GPS and WiFi have been used to respectively improve accuracies and reduce the time-to-first-fix [43]. LoRaWAN has recently been introduced as an alternative protocol for accurate location of animals [44,46].…”

Section: Geo-fencing and Virtual Perimetermentioning

confidence: 99%

Sky-Farmers: Applications of Unmanned Aerial Vehicles (UAV) in Agriculture

Yinka-Banjo¹,

Ajayi²

2020

Autonomous Vehicles

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“…The requirements for the good development of cows in lactation, pregnancy, and growth states are crucial to the production systems. There are mathematical models to help the producers make decisions; for example, to estimate cattle requirements for nutrients supplies following different production circumstances [ 48 ]. These models could be more efficient if they were auto-adjustable with time, and had smart systems to feed them with the required data.…”

Section: Challenges and Prospectsmentioning

confidence: 99%

“…Technological developments in the area of communications can provide a great opportunity for production systems to increase operating efficiency, prevent diseases promptly, and maintain the constant and efficient monitoring of milk quality [ 48 ].…”

Section: Challenges and Prospectsmentioning

confidence: 99%

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Optical Methods Based on Ultraviolet, Visible, and Near-Infrared Spectra to Estimate Fat and Protein in Raw Milk: A Review

Gastélum-Barrios

Soto-Zarazúa

Escamilla-García

et al. 2020

Sensors

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The present manuscript focuses on reviewing the optical techniques proposed to monitor milk quality in dairy farms to increase productivity and reduce costs. As is well known, the quality is linked to the fat and protein concentration; in addition, this issue is crucial to maintaining a healthy herd and preventing illnesses such as mastitis and ketosis. Usually, the quality of the milk is carried out with invasive methods employing chemical reagents that increase the time analysis. As a solution, several spectroscopy optical methods have been proposed, here, the benefits such as non-invasive measurement, online implementation, rapid estimation, and cost-effective execution. The most attractive optical methods to estimate fat and protein in cow’s milk are compared and discussed considering their performance. The analysis is divided considering the wavelength operation (ultraviolet, visible, and infrared). Moreover, the weaknesses and strengths of the methods are fully analyzed. Finally, we provide the trends and a recent technique based on spectroscopy in the visible wavelength.

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