What are the Applications of Artificial Intelligence in Agriculture?

Artificial Intelligence (AI) in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.

FREMONT, CA: The agricultural industry turns to Artificial Intelligence (AI) technologies to assist farmers in producing healthier crops, controlling pests, monitoring soil and growing conditions, organising farmers' data, assisting with the workload, and improving a variety of farm-related tasks across the food supply chain. Below are some suitable Agricultural AI applications.

The efficiency of weather forecasting: As climate conditions change and pollution levels rise, it becomes harder for farmers to determine the optimum seed sowing time. With AI, farmers can analyse weather conditions through weather forecasting, allowing them to plan the crop type that can be grown and when the seed can be sown.

Soil and crop health monitoring system: Soil type and nutrition significantly impact crop type and crop quality. As deforestation increases, soil quality deteriorates, making it difficult to determine its quality. A German technology startup has developed an artificial intelligence-based application to detect nutrient deficiencies in soil and plant pests and diseases, giving farmers an idea of when to apply fertiliser to improve the harvest quality. This application uses image recognition technology. Farmer can use his smartphone to capture plant images. They can also view short videos on this application showing soil restoration techniques, tips, and other solutions. Similarly, a machine-learning-based startup helps farmers conduct soil analysis through their app to monitor soil and crop health to produce healthy crops with higher productivity.

Drone-based crop health analysis:  Drone-based Ariel imaging solutions monitor crop health. The drone collects data from fields and then transfers it via a USB drive to a computer for expert analysis. It assists farmers in identifying pests and bacteria and implement pest control and other necessary measures promptly.

Precision Farming and Predictive Analytics: AI applications in agriculture have developed applications and tools to help farmers inaccurate and control agriculture by providing farmers with adequate guidance on water management, crop rotation, timely harvesting, growing crop type, optimum planting, pest attacks, nutrition management. While using machine learning algorithms related to images captured by satellites and drones, AI-enabled technologies predict the weather, analyse crop sustainability and evaluate farms with data such as temperature, precipitation, wind speed, and solar radiation for the presence of diseases or pests and insufficient plant nutrition on farms. Farmers with no internet connectivity can now enjoy AI with tools as simple as an SMS-enabled phone and the Sowing App. Meanwhile, farmers can use AI applications to get an AI-customized plan for their land. With such IoT- and AI-driven solutions, farmers can meet the need for sustainably growing food production and income without depleting valuable natural resources.

Agricultural Robotics: AI companies have developed robots to handle many agricultural jobs efficiently and control significant weeds and crop volumes faster.

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