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“The lowest-hanging fruit for AI is how it will improve the food and agricultural supply chain with rapid increases in efficiency and productivity,” Soloviev says. “AI can do the math for us.”
Valeria Kogan is the CEO of Fermata, a software-development company specializing in agriculture. Her team develops AI tools to reduce crop loss that causes food waste and greenhouse gas emissions.
The integration of AI and IoT in Florida's agriculture represents a strong commitment to safeguarding our precious water resources. ... in the state's economy and food supply—is at an inflection ...
The FAO-ITU E-agriculture Strategy Guide [30] was developed by the Food and Agriculture Organization and the International Telecommunication Union (ITU) with support from partners including the Technical Centre for Agricultural and Rural Cooperation (CTA) as a framework for countries in developing their national e-agriculture strategy/masterplan.
Emerging digital technologies have the potential to be game-changers for traditional agricultural practices. The Food and Agriculture Organization of the United Nations has referred to this change as a revolution: "a 'digital agricultural revolution' will be the newest shift which could help ensure agriculture meets the needs of the global population into the future."
An agricultural robot is a robot deployed for agricultural purposes. The main area of application of robots in agriculture today is at the harvesting stage. Emerging applications of robots or drones in agriculture include weed control, [1] [2] [3] cloud seeding, [4] planting seeds, harvesting, environmental monitoring and soil analysis.
In Indiana, where agriculture contributes an estimated $35 billion annually to the state's economy, experts believe AI holds the potential to transform the industry's production methods and ...
Precision agriculture (PA) is a management strategy that gathers, processes and analyzes temporal, spatial and individual plant and animal data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of ...