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Khosla, R
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Authors
Gupta, M
Khosla, R
Bazzi, C.L
Souza, E.G
Khosla, R
Reich, R.M
Naser, M.A
Khosla, R
Reich, R
Haley, S
Longchamps, L
Moragues, M
Buchleiter, G.W
McMaster, G.S
Khosla, R
Westfall, D.G
Longchamps, L
Khosla, R
Longchamps, L
Longchamps, L
Panneton, B
Westfall, D.G
Khosla, R
Shanwad, U.K
Patil, M.B
H, V
B.G , M
R, P
N.L. , R
S, S
Khosla, R
Patil, V.C
Yao, Y
Miao, Y
Huang, S
Gnyp, M.L
Khosla, R
Jiang, R
Bareth, G
Cao, Q
Miao, Y
Feng, G
Gao, X
Liu, B
Khosla, R
Miao, Y
Cao, Q
Cui, Z
Li, F
Dao, T.H
Khosla, R
Chen, X
Moshia, M.E
Khosla, R
Davis, J
Westfall, D
Krueger, E
Kurtener, D
Kurtener, D
Khosla, R
Mzuku, M
Khosla, R
Reich, R
http://icons.paqinteractive.com/16x16/ac, G
Smith, F
MacDonald, L
Shaver, T
Khosla, R
Westfall, D
Stromberger, M
Khosla, R
Shaner, D
Zach, D
Anselmi, A.A
Molin, J.P
Khosla, R
Siegfried, J
Khosla, R
Longchamps, L
Longchamps, L
Khosla, R
Reich, R
Phillippi, E
Khosla, R
Longchamps, L
Turk, P
Yilma, W.A
Siegfried, J
Khosla, R
Mandal, D
Siqueira, R.D
Longchamps, L
Khosla, R
Siegfried, J
Khosla, R
Mandal, D
Yilma, W
Topics
Precision Nutrient Management
Remote Sensing Applications in Precision Agriculture
Guidance, Robotics, Automation, and GPS Systems
Food Security and Precision Agriculture
Sensor Application in Managing In-season Crop Variability
Proximal Sensing in Precision Agriculture
Precision Nutrient Management
Spatial Variability in Crop, Soil and Natural Resources
Sensor Application in Managing In-season Crop Variability
Spatial Variability in Crop, Soil and Natural Resources
Remote Sensing Applications in Precision Agriculture
Precision Agriculture and Climate Change
In-Season Nitrogen Management
Decision Support Systems
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Applications of Unmanned Aerial Systems
Type
Poster
Oral
Year
2012
2010
2014
2016
2018
2022
Economic Evaluation of Automatic Heat Detection Systems in Dairy Farming
1J. Pfeiffer, 1M. Gandorfer, 2J. F. Ettema
1. Bavarian State Research Center for Agriculture, Institute for Agricultural Engineering and Animal Husbandry, Vöttinger Straße 36, 85354 Freising (Germany)
2. SimHerd Inc., Asmildklostervej 11, DK 8800, Viborg (Denmark)

Although heat detection makes a relevant contribution to good reproduction performance of dairy cattle, available studies on the economic evaluations of automatic heat detection systems are limited. Therefore, the objective of this article is to provide an economic evaluation of using automatic heat detection. The effect of different heat detection rates on gross margin is modelled with SimHerd (SimHerd A/S, Denmark). The analysis considers all additional investment costs in automatic heat detection. The economic evaluation is carried out on the assumption of two different herds of Simmental cattle with milk production levels of 7000 and 9000 kg and herd sizes of 70 and 210 cows, respectively. Furthermore, we distinguish between two investment scenarios: In scenario 1, only cows are equipped with automatic heat detection, while scenario 2 assumes that cows and heifers are equipped with automatic heat detection. Because some variables are relatively uncertain (heat detection rates; time for heat control), they are modelled with triangle distributions using the Monte Carlo method in @RISK (Palisade Corporation software, Ithaca NY USA). This makes it possible to model a probability distribution for the net returns of investment in automatic heat detection.  

The simulation results show that the net return of investing in an automatic heat detection system ranges in all scenarios from -33 to +111 € per cow and year, with mean values of +6 to +35 € per cow and year. In general, the net return is independent of the milk production level assumed. A comparison amongst all scenarios shows higher net returns for bigger herd sizes, due to fixed cost degression effects. Considering all scenarios, the probability of a positive net return of using an automatic heat detection system is 82 %. The economic advantage or disadvantage depends strongly on the current fertility management of a dairy farm without automatic heat detection. Additionally equipping heifers with the system has a strong positive effect on the economy of automatic heat detection systems, due to the resulting reduction in the age at first calving. 

Keyword: Monte-Carlo-Simulation, @RISK, automatic heat detection, dairy cattle, SimHerd, activity sensor