Implementation of AI in Agriculture

Implementation of AI in Agriculture

Farming has been re-defined by technology over the last few years. Today, technological advances have influenced the agricultural industry in many ways. Agriculture is one of the mainstay occupations in most global countries, and as the population surges and the pressure on land increases, there will be 60% more requirements for food production. 

Now, this is where AI and ML play their role. AI in agriculture is now showing the potential for meeting the food requirements for an additional 2 billion people globally by 2050. 

What do Stats Say About the Impact of AI in Agriculture?

The role of AI in agriculture is immense. It has facilitated the most complex and routine tasks and made farming way easier than it was decades ago. Let’s see what stats say about the impact of artificial intelligence in agriculture and how AI is used in agriculture.

  • The global spending on connected and smart agriculture, including machine learning and AI, is anticipated to triple in revenue by the end of 2025, reaching a valuation of $15.3 billion. 
  • AI and the Internet of Things (IoT) in agriculture enable IoT-enabled Agricultural (IoTAg) monitoring, which is projected to reach a valuation of $4.5 billion by 2025. 
  • Spending on AI solutions and technologies, particularly in the agriculture industry, is estimated to grow from $1 billion to $4 billion from 2020 to 2026, attaining a CAGR of 25.5%.
  • AI in agriculture market size stood at $852.2 million in 2019, and it is expected to reach $8,379.5 million by 2030, exhibiting a CAGR of 24.8% during the forecast period (2020–2030).
  • By region, North America generated the highest revenue in AI in the agriculture market, but it is predicted that the fastest growing market will be the Asia Pacific.

What are the Applications of Artificial Intelligence in Agriculture?

The adoption rate of artificial intelligence in the agriculture industry has changed the overall outcome of farming efforts, with a majority of startups in agriculture adopting AI-enabled approaches to increase the efficiency of agricultural production. Let’s dive deep into the various applications of AI in agriculture. 

1. Weather Prediction

Over the years, we have experienced a drastic increase in pollution level and unpredictable climatic conditions. The change in climate has made it difficult for farmers to determine the right time for sowing seeds, and that’s where AI comes into the picture. With the help of artificial intelligence, it is easy to gain insight into how weather, seasonal sunlight, wind speed, and rain will affect crop planting cycles. Weather forecasting will help farmers analyze and plan when the seeds should be sown.

2. Soil and Crop Monitoring in Real-Time

Soil is one of the most important factors that determine the growth and health of any plant. The nutrition of the soil determines the quality of the crop. Due to deforestation, the soil quality deteriorates over time, and it becomes very difficult for farmers to understand what soil will be best for what crop. 

3. Using Drones for Data Collection

Thanks to AI and machine learning in agriculture, crop yield can be improved through real-time sensor data and visual analytics data from drones. Drones can provide real-time video surveillance that can analyze the growth patterns of crops. 

On the other hand, smart sensors can provide data on moisture, fertilizer, and natural nutrient levels. That being said, we cannot deny the fact that drones are a reliable tool for capturing data on how specific fertilizers, watering patterns, and pesticide treatment methods are improving crop yields. 

4. Precision Farming

Use of AI in agriculture has resulted in applications that provide farmers with proper guidance regarding water management, crop rotation, timely harvesting, optimum planting, pest attacks, etc. With the help of machine learning algorithms and the images captured by satellites and drones, we can predict weather conditions and nutrition management and analyze crop sustainability. 

The market value of precision farming is expected to grow from approximately 5.09 million U.S. dollars in 2018 to 9.53 billion U.S. dollars by 2023.

5. AI-Powered Robots

AI-powered companies are developing robots to perform multiple farming tasks. These robots will be trained to control the excessive growth of weeds and harvest crops. They will also be trained to pick and pack crops. The goal is to automate such manual tasks and accomplish them at a much faster pace with higher volumes when compared to humans.

6. AI-Enabled Surveillance Systems

AI technology in agriculture enables the usage of satellite images in order to compare them with past data to detect animal or human breaches. This reduces the risk of any domestic or wild animal that can destroy crops. AI algorithms can also detect something as small as an insect, for example- locust, grasshopper, etc. Once an intrusion is detected, alerts are immediately sent to the farmers on their smartphones so that they can take the required precautions.

Why your Business Needs Agriculture Custom Software Development

Agriculture custom software development can take your business to the next level. Let’s check out the reasons why the leading agriculture software companies go for agriculture software development services:

  1. Automated Processes
  2. Better Planning 
  3. Improvised Farm Management
  4. Increase Nutritional Value
  5. Cost Reduction
  6. Meet Sustainable Goals

echnological advancements in agriculture will help the world deal with food production issues for the growing population. The growth in artificial intelligence technology has strengthened agro-based businesses to run more efficiently than ever. If you are looking for an agriculture software development company for your brilliant idea, this is the time to bring that idea to life.

We also serve across the globe with our AI development services in the USA, Europe, and Asia to help our customers and clients achieve their goals.

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