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The agriculture sector has always been an early adopter of advanced technologies. The industry now is experiencing rapid growth and adapting to new-age farming solutions to boost the overall yield of the crops. With the rising demand of foods from the growing population around the world, there is a significant and growing need in the agriculture and nutrition industry to embrace new tools, knowledge, and processes that assists them to meet these demands.

Thus, the accessibility of large number of equipment and state-of-the-art solutions like intelligent monitoring systems, drones, among others has completely transformed the sector, enabling more sustainable use of available resources. In this context, Artificial Intelligence has become a vital technology in today’s farming, making a digital ecosystem across the agriculture sector.

Looking at reports, the global market for AI in agriculture is expected to reach US$2,075 million by 2024 from US$545 million in 2017, growing at a CAGR of 21 percent. With AI, organizations and agriculturists will be able to fortify agriculture production to meet the food demands in need of the hour. Since human beings work hard and can only perform for some hours, machines have the ability to work with no fixed time.

Thus, as AI has a huge impact on the current agriculture domain, here are some trends of how this technology is revolutionizing the sector.

Precision Farming

With precision farming, agriculturists can spot pests, diseases in plants, and poor plant nutrition of farms by leveraging AI. AI sensors can assist in detecting and targeting weeds and then determine which weed killers or herbicides to apply within the right zone. It also assists to thwart over-application of herbicides and excessive toxins that find their way in today’s daily food. With the help of AI, farmers are also creating seasonal forecasting models to advance agricultural accuracy and productivity.

Providing Image-Based Insights

By utilizing computer vision and drone-based data collected, farmers can take quick actions in real-time to make alerts to expedite precision farming. This is one of the significant areas in today’s farming. Computer vision technologies can be deployed in areas including disease detection, crop readiness and identification, field management, and soil survey and mapping.

Monitoring Crop Health

Advanced technologies like remote sensing accompanied by 3D laser scanning are essential and have the ability to provide crop metrics across thousands of acres of farming land. It can bring radical changes from the perspective of time and efforts are monitored by the farmers. Agriculturists and farm enterprises can also make better decisions during farming and can analyze weather conditions, temperature, water usage, or soil conditions in real-time with the help of emerging solutions.

Managing Environmental Challenges

Environmental challenges such as climate change and others are the biggest intimidations to agricultural productivity. However, AI-powered methods and data-driven farming can assist in making it more accessible for farmers to navigate shifts as per the environmental conditions. It also assists in addressing climate change by powering smarter resource management.

Along with several opportunities for applications in agriculture, there is still a lack of intimacy with AI across the world. In addition to this, the high initial cost associated with the deployment of AI in agriculture can be a preventive factor towards the digitalization of the sector. Despite these challenges, surging investments in and adoption of this technology along with robotics are majorly stimulating the growth of the global AI in the agriculture market.