Because of the growing world population and increasing demand for food, it is essential to use efficient farming techniques to increase yield on a restricted amount of land. Agriculture is becoming more and more reliant on artificial intelligence (AI), and devices with AI capabilities are enhancing the current farming setup. Agriculture is impacted by a wide range of variables, including temperature, rainfall, crop rotation, and soil moisture content. Artificial intelligence-based products can track crop productivity using these factors. Artificial intelligence technologies are being used by industries to improve a variety of agriculture-related tasks throughout the whole food supply chain.
Artificial intelligence (AI) applications and solutions have been developed to help farmers with precise and regulated farming by providing them with the appropriate guidance on water management, crop rotation, timely harvesting, crop type, optimal planting, nutrition management, and pest attacks.
AI-enabled systems use information from satellite and drone photos along with meteorological data to forecast the weather, track agricultural sustainability, and evaluate farms for pests, diseases, and malnourished plants.
Farmers without connectivity may benefit immediately from AI with as little as an SMS-enabled phone and the Sowing App. In the interim, farmers with Wi-Fi access can use AI apps to receive a continuously AI-tailored plan for their farms. With the aid of the Internet of Things and artificial intelligence (AI)-driven technologies, farmers can responsibly increase output and revenues while meeting the growing demand for food without depleting valuable natural resources. Heat, precipitation, wind, and solar radiation are examples of climate variables.
AI may be useful to farmers in a variety of ways, including:
- AI weather forecasting:
Because of climate change and increased pollution, farmers find it difficult to predict the ideal time to plant seeds. Farmers can plan the particular crop to be grown and when seeds should be sown by using weather forecasting, which is made possible by artificial intelligence.
- Crop health and soil monitoring system:
The type and quality of crops grown are greatly influenced by the soil’s composition. Due to increasing deforestation, the quality of the soil is declining, making evaluation challenging.
- AI Robotics:
AI is being used to build robots that can easily perform a range of tasks in agricultural fields. These robots are given training to harvest crops faster and in larger quantities than humans can, all the while keeping weeds under control.
These robots are programmed to gather and bundle crops while also assessing their quality and scanning the area for weeds. These robots are also capable of overcoming the challenges faced by agricultural laborers.
- AI for the detection of pests:
Pests are among the fatal enemies of farmers that harm agriculture. Artificial intelligence (AI) systems use historical data and satellite images to identify which species of insects such as grasshoppers and locusts have landed and whether any have at all. By providing alerts to farmers’ cell phones, artificial intelligence (AI) helps farmers combat pests by enabling them to take the appropriate safety measures and implement the required pest management.
Drone technology has had a long-lasting impact on India’s agricultural sector’s productivity, particularly in the area of crop health monitoring. Drone-powered solutions, such as those offered by Equinox Drones, help farmers increase productivity in a range of farming operations, such as scouting, precision farming, pesticide application, livestock management, crop stress identification, plant growth monitoring, and treatment planning.
Conclusion
AI will enable farmers to become agricultural technologists in the future, utilizing data to optimize yields right down to plant rows.
