AI-powered drones and satellite imagery provide farmers with real-time data on crop conditions, facilitating informed decisions regarding resource application.

Despite the benefits, challenges in adopting AI in agriculture include high initial costs, the need for technical expertise, and concerns about data privacy, which must be addressed for broader implementation.

To enhance the adoption of AI-driven solutions in agricultural productivity and food security, policy interventions and public-private collaboration are deemed necessary.

The rise of autonomous machinery, including self-driving tractors and harvesters, is transforming farming by allowing for continuous operation and reducing reliance on manual labor.

Experts emphasize the importance of AI in addressing environmental challenges, particularly in combating climate change, biodiversity loss, and pollution.

Alothman advocates for increased awareness and funding in underrepresented AI areas, stressing the need for collaboration between academia, industry, and government to maximize AI's impact.

AI's potential extends beyond agriculture; it can assist in early detection of mental health issues through analysis of speech patterns and provide support via AI chatbots.

Artificial intelligence (AI) is revolutionizing agriculture by enhancing precision farming, which includes detecting plant diseases, pests, and nutrient deficiencies, ultimately leading to improved efficiency and reduced fertilizer usage.

As global food demand rises due to population growth and arable land becomes scarcer, leveraging technology like AI is essential for optimizing agricultural yields.

A mixed-methods approach, including systematic literature analysis and regional case studies, has been adopted to assess the impact of AI technologies on farming practices.

Advanced AI-driven forecasting models, such as machine learning and time-series models, are enhancing agricultural practices by enabling farmers to predict weather patterns and optimize food supply chains.

Training the next generation of AI professionals is crucial to advance these initiatives and tackle existing challenges across various fields.