AI can be used in many aspects such as crop monitoring, disease diagnoses, predictive production or forecast, farm management, smart irrigation, automated harvesting, weed control ...etc.

Dr Muhammed Assarf thank you for your contribution to the discussion

Artificial Intelligence (AI) has improved crop production and real-time monitoring, harvesting, processing and marketing. Different hi-tech computer-based systems are designed to determine various important parameters such as weed detection, yield detection, crop quality, and many more. By collecting data on plant growth, AI can help produce crops that are less prone to disease and better adapted to weather conditions. With the help of AI, scientists can identify the best-performing plant varieties and crossbreed them to create even better hybrids. AI utilized plant growth data to further advice on crops that are more resilient to extreme weather, disease or harmful pests. AI algorithms can analyze the chemical composition of soil samples to determine which nutrients may be lacking. AI can also identify or even predict crop diseases. AI can help detect field boundaries and bodies of water to enable sustainable farming practices, improve crop yields, and support India's 1.4 billion people and the rest of the world. Robots powered by AI can undertake labour-intensive tasks, such as weeding, fruit picking and pruning, with precision and care. By reducing the reliance on manual labor, AI-driven robotics contribute to sustainable agriculture by minimizing the environmental impact associated with conventional farming practices. Robots can be used for other horticultural tasks such as pruning, weeding, spraying and monitoring. Robots can also be used in livestock applications (livestock robotics) such as automatic milking, washing and castrating. Agriculture robots perform crop maintenance tasks such as harvesting, applying pesticides, weeding, and other tasks. Agriculture robots are a type of field robot; however, they also add value indoors by operating in greenhouses. 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. Their work is related to the agriculture robot, which is designed and developed using FL to control the microcontroller for precise movement of motors in performing multiple functions in agriculture, such as ploughing, seed dispensing, watering, pesticide spraying, and temperature monitoring. AI helps farmers by suggesting the nutrients they should apply to increase the quality of the soil. AI can help farmers choose the optimal time to plant their seeds. Intelligent equipment can calculate the spacing between seeds and the maximum planting depth. Till date the agricultural robots have been researched and developed principally for harvesting, chemical spraying, picking fruits and monitoring of crops. Robots like these are perfect substitute for manpower to a great extent as they deploy unmanned sensing and machinery systems.

Automated Monitoring: AI-powered drones and sensors can monitor crops in real-time, collecting data on factors such as soil health, moisture levels, and plant conditions. This data enables farmers to make informed decisions about irrigation, fertilization, and pest control.

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. Robots can be used for other horticultural tasks such as pruning, weeding, spraying and monitoring. Robots can also be used in livestock applications such as automatic milking, washing and castrating. 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 offer a great edge in reducing labor costs. Agricultural fields are pretty expensive to manage considering the price of crops that is subject to the market. As such, using agribots helps reduce the expenses that come with depending on human laborers.Agricultural robots are pieces of technology that help farmers complete a range of tasks. They can be programmed to assist farmers with harvesting, weed control, planting seeds, cloud seeding, soil analysis and much more. AI is leading to autonomous livestock farming by a network of robots that analyze milk data in real time, adjust feeding rations, and clean the manure. The generated data can be further analyzed to detect inefficiencies due to illness. Farmers can simply maintain oversight through remote monitoring. AI can help farmers get greater yields on the same amount of land. Using multimodal AI, which combines several types of data, farmers can be advised about what to plant, when to plant it, when to fertilize, when to harvest and many other recommendations. 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. AI can help detect field boundaries and bodies of water to enable sustainable farming practices, improve crop yields, and support India's 1.4 billion people and the rest of the world. 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. Application of AI in agriculture provides farmers with real-time crop insights, helping them to identify which areas need irrigation, fertilization, or pesticide treatment. Innovative farming practices such as vertical agriculture can also increase food production while minimizing resource usage.AI can predict the weather and potential impact of conditions such as wind, rainfall or impending drought. FarmVibes.AI can also help predict crop stress or yield loss stemming from issues such as water stress, pests or disease, which can help a farmer take the right actions to mitigate the loss. AI can simplify crop selection and help farmers determine which crops will be most profitable. Using forecasting and predictive analytics, farmers can reduce errors in their processes and minimize the risk of crop failures.

AI enables farmers to collect and analyze vast amounts of data from sensors, drones, satellites, and other sources to make precise decisions about planting, irrigation, fertilization, and pest control.

Smart robots and autonomous vehicles can perform various tasks such as planting, harvesting, and spraying without human intervention. These machines are equipped with sensors and AI algorithms to navigate fields, avoid obstacles, and optimize operations for efficiency and productivity. They also can monitor crops in real-time, detecting diseases, pests, nutrient deficiencies, and identifying and differentiating between crops, weeds, and pests. This leads to increased yields, reduced resource usage, and lower costs, and also maximizes crop health and yield.