In general, agriculture plays a crucial role in human survival as a primary source of food, alongside other sources such as fishing. Unfortunately, global warming and other environmental...
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artificial intelligence crop production
Highlights: A four-step planning framework for water-energy-food at the basin scale is developed. Detailed river basin simulation coupled with AI-driven optimization is implemented. The Grand Ethiopian Renaissance Dam...
Highlights:
Agriculture is a fundamental sector to meet global food demand.
Crop yield is limited by harsh environmental conditions and pest attack.
IoT-enabled smart sensors monitor...
Highlights
Artificial intelligence improves agricultural productivity.
Artificial intelligence improves postharvest and food operations.
Consumers can apply artificial intelligence in food-based decisions...
This paper explains the need for digital tools and how they enable commercialization and scale, the impact on users, and the risks and benefits with examples of projects and partners along the value chain...
Reinforcement learning (RL), including multi-armed bandits, is a branch of machine learning that deals with the problem of sequential decision-making in uncertain and unknown environments through learning by practice. While...
Weed detection has become an integral part of precision farming that leverages the IoT framework. Weeds have become responsible for 45% of the agriculture industry's crop losses...