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Todman, L
Santos, A
Sun, Z
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Authors
Sun, Z
Dallago, G.M
Figueiredo, D
Santos, R
Santos, D
Guimarães, L
Santos, C
Castro, T
Santos, A
Otoni, L
Andrade, J
Karampoiki, M
Todman, L
Mahmood, S
Murdoch, A
Paraforos, D
Hammond, J
Ranieri, E
Topics
Sensor Application in Managing In-season Crop Variability
Precision Dairy and Livestock Management
Big Data, Data Mining and Deep Learning
Type
Oral
Poster
Year
2010
2018
2022
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1. Primary Framework Of Diagnosis And Management For Wheat Production Based On The Online Telemonitoring Networks

  PRIMARY FRAMEWORK OF DIAGNOSIS AND MANAGEMENT FOR WHEAT PRODUCTION BASED ON THE ONLINE TELEMONITORING NETWORKS   Sun Zhong-fu, Du Ke-ming, Zhang Yan, Liang Ju-bao   Inst. of Environ. & Sustainable Develop. in Agriculture£¨IEDA£© Chinese... Z. Sun, ,

2. Time Series Analysis of Somatic Cell Count from Dairy Herds in Minas Gerais - Brazil

The objective of this study was to analyze the temporal variation of somatic cell count (SCC) in milk of dairy cows from the state of Minas Gerais, Brazil. The Holstein Livestock Breeders Association of Minas Gerais provided data collected from 128 dairy farms located in the state of Minas Gerais between the years of 2000 and 2016. The database contains the SCC average of a total of 91,851 305-day lactations of Holstein animals. The annual SCC average was calculated as well as the percentage of... G.M. Dallago, D. Figueiredo, R. Santos, D. Santos, L. Guimarães, C. Santos, T. Castro, A. Santos, L. Otoni, J. Andrade

3. A Bayesian Network Approach to Wheat Yield Prediction Using Topographic, Soil and Historical Data

Bayesian Network (BN) is the most popular approach for modeling in the agricultural domain. Many successful applications have been reported for crop yield prediction, weed infestation, and crop diseases. BN uses probabilistic relationships between variables of interest and in combination with statistical techniques the data modeling has many advantages. The main advantages are that the relationships between variables can be learned using the model as well as the potential to deal with missing... M. Karampoiki, L. Todman, S. Mahmood, A. Murdoch, D. Paraforos, J. Hammond, E. Ranieri