Optimization of Energy in Smart Farms Using a Genetic Algorithm

The need for energy in the agriculture field is increasing as a result of increasing the productivity of these fields. The appearance of smart grid and IoT (internet of objects) enabled farmers to control, manage, and optimize the energy consumption. Agriculture will continue to rely on energy to increase its productivity in line with increasing population and great demand. In this chapter, the authors present an integrated model between SmartFarms, the smart-grid, and optimization methods. In this way, smart forms can participate actively and benefit from the energy market. In this chapter, they consider the electrical energy that is directly used in activities ranging from field processes such as irrigation of land. Energy is also indirectly consumed in synthetic additives notably fertilizers, pesticides, and herbicides. In addition, the authors can consider the electrical energy, which is used for powering some agricultural machines.

• smart farm
• agricultural energy use
• energy optimization
• genetic algorithm
• smart grid
• Internet of Things
• energy market participation
• irrigation energy
• agricultural machinery

• 2 — Faim « zéro »
• 7 — Énergie propre et d’un coût abordable
• 9 — Industrie, innovation et infrastructure

• Energy, Environment, Agriculture Analysis
• Smart Grid Energy Management
• Smart Agriculture and AI
• smart farm
• agricultural energy use
• energy optimization
• genetic algorithm
• smart grid
• Internet of Things
• energy market participation
• irrigation energy
• Renewable Energy, Sustainability and the Environment
• Electrical and Electronic Engineering
• Plant Science
• Energy
• Engineering
• Agricultural and Biological Sciences