Sensitivity study of the Predictive Optimal Water and Energy Irrigation (POWEIr) controller’s schedules for sustainable agriculture systems in resource-constrained contexts

Sheline, Carolyn; Ingersoll, Samuel; Amrose, Susan; Irmak, Suat; Winter V., Amos G.

doi:10.1016/j.compag.2024.109230

Computers and Electronics in Agriculture

2024

DOI: 10.1016/j.compag.2024.109230

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Sensitivity study of the Predictive Optimal Water and Energy Irrigation (POWEIr) controller’s schedules for sustainable agriculture systems in resource-constrained contexts

Carolyn Sheline,

Samuel Ingersoll,

Susan Amrose

et al.

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Role of AI and IoT in Advancing Renewable Energy Use in Agriculture

Morkūnas,

Wang,

Wei

2024

Energies

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This paper discusses how integrating renewable energy, AI, and IoT becomes important in promoting climate-smart agriculture. Due to the changing climate, rise in energy costs, and ensuring food security, agriculture faces unprecedented challenges; therefore, development toward innovative technologies is emerging for its sustainability and efficiency. This review synthesizes existing literature systematically to identify how AI and IoT could optimize resource management, increase productivity, and reduce greenhouse gas emissions within an agricultural context. Key findings pointed to the importance of managing resources sustainably, the scalability of technologies, and, finally, policy interventions to ensure technology adoption. The paper further outlines trends in the global adoption of renewable energy and smart agriculture solutions, indicating areas of commonality and difference and emphasizing the need for focused policies and capacity-building initiatives that will help, particularly in the developing world, the benefits of such innovations. Eventually, this research covers some gaps in understanding how AI, IoT, and renewable energy could jointly contribute to driving towards a greener and more resilient agriculture sector.

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Role of AI and IoT in Advancing Renewable Energy Use in Agriculture

Morkūnas,

Wang,

Wei

2024

Energies

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show abstract

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Sensitivity study of the Predictive Optimal Water and Energy Irrigation (POWEIr) controller’s schedules for sustainable agriculture systems in resource-constrained contexts

Cited by 1 publication

References 34 publications

Role of AI and IoT in Advancing Renewable Energy Use in Agriculture

Role of AI and IoT in Advancing Renewable Energy Use in Agriculture

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