The undertaking of AI in Agriculture

AI revolutionizes agriculture by replacing traditional methods, leveraging efficient methods, and guiding the world into a better place.

FREMONT, CA: Agriculture is an important industry and foundation of the economy. The calculated value added by the agricultural sector was at just less than 1 percent of the US GDP. However, the US Environmental Protection Agency predicts that agriculture contributes roughly $330 billion in annual revenue to the economy. In addition, factors like climate change, population growth, and food security concerns have powered the sector into exploring innovative approaches to protecting and gracing crop yield. Hence, AI is emerging as part of the industry's technological evolution.

• Weather Forecasting

With the variation in climate and increasing pollution, it isn't very easy for farmers to decide the right time for sowing seeds. With AI's assistance, farmers can analyze weather conditions by leveraging weather forecasting, which helps them plan the type of crop that can be grown and when they should sow seeds.

• Crop Health Monitoring

The soil type and nutrition of soil are vital factors in the type of crop grown and the quality of the crop. Due to deforestation, soil quality is demeaning, and it's hard to find the soil's quality. There are AI-based applications that can recognize the nutrient deficiencies in soil involving plant pests and diseases. Farmers can get an idea to use fertilizer which helps to enhance harvest quality. There are machine learning-based tools that help farmers do a soil analysis. Such applications help farmers monitor soil and crop health conditions and create healthy crops with high productivity.

• Precision Farming

AI applications in agriculture have created applications and tools that assist farmers with inaccurate and controlled farming by offering them proper guidance about water management, crop rotation, pest attacks, timely harvesting, optimum planting, and nutrition management. While using the machine learning algorithms, including images gathered by satellites and drones, AI-powered technologies forecast weather conditions, analyze crop sustainability and evaluate farms for the presence of diseases and poor plant nutrition on farms with data like temperature, precipitation, wind speed, and solar radiation.