Artificial Intelligence in Agriculture Sector
The Artificial Intelligence in agriculture sector is one of the major industries which are revolutionized by the Artificial Intelligence technology.
Agriculture
The agricultural industry is largely dependent on uncontrollable factors like climate change, population growth, and other environmental conditions.
Artificial Intelligence in agriculture sector can be implemented for various technological advancements. These include Machine Learning services, Artificial Intelligence consulting services, data analytics, internet of things and availability of sensors and cameras, etc. By analyzing the various data sources such as temperature, soil, weather, and historic crop performance, Artificial Intelligence in agriculture sector will be able to provide better predictive insights. Machine vision technologies have the potential to revolutionize applications in the agricultural sector. The use of an AI in farming can be used in agricultural processes like harvesting, use of precise weed-killing chemicals, etc. Many agriculture websites as well as agriculture startups are opting for AI solutions and AI consulting to develop a path of steady progress.
Some Transforming Use Cases of Artificial Intelligence in Agricultural Sector are:
Weather Prediction:
AI in Farming along with the satellite data can be used to predict the weather conditions analyze the crop sustainability and evaluate the farms for the presences of pests and diseases. The AI in farming is able to provide billions of data points including temperature, precipitation, wind speed, and solar radiation.
Soil Health monitoring
Artificial Intelligence in agriculture applications can be used for identifying potential defects and nutrient deficiency in the soil. AI in farming can detect the deficiency in the soil. The image recognition and annotation services can identify the defects through the images captured by the user’s smartphone. The user is provided with various soil restoration techniques.
Monitoring crop health
Artificial Intelligence in agriculture sector can be used for monitoring crop health and sustainability. For example detecting the diseases, pests, and nutrition of the farms. Artificial intelligence algorithm can tell where the fertilizer is needed on the farm. This can reduce the amount of fertilizer needed by 40%. The software can be used across various mobile devices.
The Scope of AI in Agriculture
Agriculture is seeing rapid adoption of Artificial Intelligence (AI) and Machine Learning (ML) algorithms both in terms of agricultural products and in-field farming techniques. Cognitive computing, in particular, is all set to become the most disruptive Artificial Intelligence in agriculture sectors as it can understand, learn, and respond to different situations to increase efficiency. Providing some of these solutions as a service like Chatbot or other conversational platforms to all the farmers will help them keep pace with technological advancements as well as apply the same in their daily farming to reap the benefits of this service.