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Machine Learning in Agriculture: A Review
TLDR
In this paper, we present a comprehensive review of research dedicated to applications of machine learning in agricultural production systems. Expand
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Advances in agricultural machinery management: A review
The introduction of intelligent machines and autonomous vehicles to agricultural operations will allow for increased efficiency as well as for reduced environmental impact. Currently, innovativeExpand
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Agricultural operations planning in fields with multiple obstacle areas
Generation of feasible area coverage plan in fields with multiple obstacle areas.The optimization of the block sequence connection is formulated as a TSP problem.The developed model requires lowExpand
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A simulation model for a rice-harvesting chain
Management of rice harvesting presents a number of unique challenges that require development of dedicated tools. Challenges include in-field trafficability constraints affecting the transport units,Expand
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Tramline establishment in controlled traffic farming based on operational machinery cost
This paper presents a targeted approach for the estimation of the operational machinery costs on an annual basis in controlled traffic farming (CTF) systems. The approach combines four sub-modelsExpand
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Scheduling for machinery fleets in biomass multiple-field operations
In the light of the current development toward large, and consequently, complicated agricultural production systems, such as systems of biomass production as bioenergy resource, the demand forExpand
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Energy embodiment in Brazilian agriculture: an overview of 23 crops
The amount of energy required to produce a commodity or to supply a service varies from one production system to another and consequently giving rise to differing levels of environmental efficiency.Expand
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