Not to use such intervention / game with the nature. Original is surely pure.

AI is being used for intelligent automation, such as drones capturing images of crops so the farm yield can be estimated for early detection of pests, diseases and weeds. Drones and computer vision are being combined for faster assessments of field conditions and to prioritize integrated pest management strategies. Additionally, AI can analyze market demand, forecast prices as well as determine optimal times for sowing and harvesting. Artificial intelligence in agriculture can help explore the soil health to collect insights, monitor weather conditions, and recommend the application of fertilizer and pesticides. Blue river technology identifies individual plants using computer vision, ML decides action, and with robotics, the action is performed. This helps the farmers to save costs and chemicals in farming.AI techniques can be broadly categorized into three categories: supervised learning, unsupervised learning, and reinforcement learning. Each of these techniques has its own strengths and weaknesses, and can be applied to a wide range of problems and applications.AI ethics issues include data responsibility and privacy, fairness, explain ability, robustness, transparency, environmental sustainability, inclusion, moral agency, value alignment, accountability, trust, and technology misuse.An AI Code, Ethics, also called an AI value platform, is a policy Statement that formally defines the role of artificial intelligence as it applies to the continued development of the human race. The goal of AI research should be to create not undirected intelligence but beneficial intelligence. AI ethics provides equitable access and treatment. It detects and reduces unfair biases based on race, gender, nationality, etc. Privacy and Security: AI systems keep data security at the top. Ethical AI-designed systems provide proper data governance and model management systems. A strong AI code of ethics can include avoiding bias, ensuring privacy of users and their data, and mitigating environmental risks. Codes of ethics in companies and government-led regulatory frameworks are two main ways that AI ethics can be implemented.AI ethics issues are by their very nature complex and hard to understand. Also, they often require people to do things that are unintuitive or potentially burdensome. Helping people understand the issues and persuading them to change requires strong communications skills.