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Todman, L
Toledo, A.D
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Authors
Araujo, A.G
Toledo, A.D
Hirakawa, A.R
Johann, A.L
Karampoiki, M
Todman, L
Mahmood, S
Murdoch, A
Paraforos, D
Hammond, J
Ranieri, E
Topics
Engineering Technologies and Advances
Big Data, Data Mining and Deep Learning
Type
Oral
Year
2014
2022
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1. Control System Applied To No-Till Seeding For High-Quality Operation

A high quality crop seeding operation should enable a rapid and uniform establishment of a desired plant population. Therefore, a no-till seeder must provide a seeding environment that allows the absorption of water by seeds and appropriate temperature and aeration conditions for germination and emergence processes. To stimulate these processes, the seed needs full contact with soil in order to accelerate the absorption of water and oxygen. Covering the furrow with straw is another important... A.G. Araujo, A.D. Toledo, A.R. Hirakawa, A.L. Johann

2. 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