It depends on the domain of agriculture, and is by integrating convolutional neural network based model into the drones and robots for image capturing of objects in question, from which further experiments and analysis would be carried out. This is just one of the numerous ways of how drones and robots can be used in agriculture...

Dr Rotimi Williams Bello thank you for your contribution to the discussion

Agriculture drones and robots technology can further be employed for detecting irrigation faults and real-time weather conditions. Drone and robotic farming offers convenience and helps farmers make better and more informed decisions about planting and harvesting times. In the agricultural sector, drones are used for a variety of tasks, which include spraying fertilizers, aerial surveillance, crop monitoring, land inspection, mapping, inspecting for damaged or rotting crops, and many more. 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, cloud seeding, planting seeds, harvesting, environmental monitoring and soil analysis. Agricultural robots, also called Agribots or Agbots, use artificial intelligence (AI) technology to perform agriculture activities like harvesting, sowing, mowing, and spraying, among others. These robots have automated tasks, enhanced productivity, and reduced labour-intensive processes, saving time and money. Agriculture drones can see which plants reflect different amounts of green light and Near-infrared spectroscopy (NIRS) light. This data helps produce multispectral images to track crop health. Beyond surveillance and delivery applications, UAVs are used for drone journalism, search and rescue, disaster response, asset protection, wildlife monitoring, firefighting, communications relay, healthcare and agriculture. Below are some of the applications of robotics in various processes that can aid farmers substantially: Precision sowing of seeds. Repetitive harvesting operations and crop monitoring and chemical spraying through drones. The robots can reduce the use of pesticides by up to 80% of the farm. In different fields, robots are more efficient and can work around trees, rocks, ponds, and other obstacles easily. For technicians, the robots can create jobs that can fix the robots. AI plays a crucial role in environmental impact assessment, helping engineers and policymakers make informed decisions. By analyzing vast environmental data sets, AI algorithms can identify patterns and trends, providing insights into the potential impact of engineering projects on the environment. Some of the key areas where AI is making a significant impact include air and water quality monitoring, waste management, energy efficiency, and climate change mitigation. One of the most promising applications of AI in environmental engineering is in the area of air and water quality monitoring.

Drones, robots, and artificial intelligence (AI) have revolutionized agriculture and environmental engineering by enhancing efficiency, precision, and sustainability in various ways. Here's an overview of how these technologies are used:

Drones in Agriculture:

Robots in Agriculture:

Applications of AI in Environmental Engineering:

In agriculture and environmental engineering, data collection, analysis, and decision-making are significantly enhanced by integrating drones, robots, and AI. These technologies are vital in optimizing resource use, reducing environmental impact, and promoting sustainability.

Dr Abdullah Mazin Al Mahmood thank you for your contribution to the discussion

Drones and robots equipped with sensors and cameras can provide real-time data on crop health, growth patterns, nutrient deficiencies, and pest infestations. This information helps farmers make informed decisions regarding irrigation, fertilization, and pesticide application.From autonomous weeding to precision seeding and harvesting, these agbots are revolutionizing the agricultural landscape in India. As technology continues to evolve, these robots will play an increasingly crucial role in addressing farmers' challenges and ensuring food security for the growing population. Robots have a wide range of applications within the agricultural industry from performing complex tasks such as monitoring crops and measuring PH levels in the soil, to simpler tasks of picking-and-packing fruits and vegetables and planting seeds. Agricultural drones allow farmers to monitor crop and livestock conditions from the air to keep watch for potential problems and help optimize field management. There are several functions that farmers and other agribusiness owners can use agricultural drone services for, including land imaging. Farmers are now using robots and machine learning algorithms for agricultural processes such as precision farming, automated seeding and harvesting, soil analysis, automated irrigation, and livestock monitoring. Robotics brings precision and efficiency to repetitive and labor-intensive tasks. Drones and robotics allow industrial organizations to maintain high levels of quality control. Autonomous robots and drones are programmed to specific needs of an application, reducing potential for human error. Similarly, AI can be employed in the optimization of wastewater treatment processes, leading to enhanced nutrient removal and reduced energy consumption. AI is also playing a crucial role in the development of innovative materials and technologies for environmental applications. By providing real-time data on environmental conditions, AI can help detect and prevent environmental damage before it becomes irreversible. For example, AI algorithms can be used to analyses satellite imagery and detect changes in land use, deforestation, and other environmental indicators.