How Big Data Analytics Benefits the Agriculture Sector?

1. HOW BIG DATA ANALYTICS BENEFITS THE AGRICULTURE SECTOR? PREPARED BY Softprodigy

2. INTRODUCTION For every industry, market, and business, big data analytics is a buzzword these days. Whether you want to track consumer habits, make product recommendations, or leverage smart traffic, big data is the technology of the new age – an integral strategy for modern businesses. The global value of the big data industry was estimated at $162.6 billion in 2021. And it is expected to grow up to $273.4 billion by 2022 – at a staggering CAGR (Compound Annual Growth Rate) of 11%. Experts believe that this is the outcome of growing mobile traffic, cloud computing, and the widespread adoption of digital technologies like AI, ML, and IoT.

3. BIG DATA ANALYTICS IN AGRICULTURE AND FARMING Big data generates key information that has the potential to transform the future of numerous sectors, including agriculture. Since there is immense pressure on the farming sector due to the rise in global food shortage and unstable environments, big data analytics has a vital role to play in the advancement of the farming sector. For instance, big data provides information to farmers and helps them improve their production. Along with IoT devices, cloud computing, and machine learning development services, it can come to the fore and assist farmers in making informed decisions about various elements of farming, such as soil fertility, weather, equipment, etc.

4. 5 POTENTIAL USE CASES OF BIG DATA ANALYTICS IN AGRICULTURE The recent boom in the utilization of big data within agricultureis driving a growing demand for specialized tools and platforms that can collect, analyze, and provide useful data to improve farming. In short, big data is a boon for the farming industry and there are already several use cases to exemplify that. With the help of an experienced artificial intelligence development company, let’s examine the scope of big data in agriculture.

5. TACKLING THE CHANGING ENVIRONMENT The levelof farming productivity is directly proportional to the environment and weather conditions. Sadly, due to the ill effects of globalization, the greenhouse effect, and global warming, the planet earth is facing numerous uncertainties in this sector. As a result, it’s challenging for farmers to deal with the many variables associated with the environment today. This is where bigdata analytics can showcase a real potential to tackle the changing environment. For instance, using sensory and analytical tools may allow farmers to track the weather conditions in their region in real-time. They can stay one step ahead of environmental problems and better manage their resources during times of trouble.

6. INCREASING FOOD PRODUCTION AND QUALITY With the growing population of the world, farmers across the globe need more effective tools and accurate data to boost crop production. This can be done either by expanding the amount of agricultural land or by increasing the productivity of existing lands. Here, big data analytics allows farmers to track vital information related to data points like water cycles, rainfall patterns, and fertilizer requirements. This would increase yield and help farmers make more informed decisions about what to plant, where to plant, and when to plant.

7. BETTER SUPPLY CHAIN MANAGEMENT One of the biggest areas where data analytics and machine learning development services could play an integral role isthe supply chain management. Supply chains are often lengthy and complex – featuring retailers, stakeholders, and distributors. Analytical tools are making supply chain management simpler and faster than ever by minimizing conflicting objectives and numerous dependencies. For instance, one-third of food produced for human consumption is considered wasted annually. To overcome this problem, we need to reduce food delivery cycles from the producer to the market. And the integration of big data analytics can help them achieve supply chain efficiencies by monitoring delivery truck routes and the lifecycle of food.

8. MINIMIZING THE USE OF PESTICIDES The use of pesticides in agriculture and farming has benefits, but as consumers gain more understanding of these chemicals, they are getting concerned about side effects like asthma and allergies. So, the push for the responsible use of pesticides is on the rise. And big data analytics is the key innovation to help farmers and growers better manage pesticides. Big data and AI application development services answer things like when, where, and howto apply pesticides. Farmers can closely monitor all aspects of the pesticide use and follow government regulations to avoid the overuse of chemicals in the food production process. Plus, there is this opportunity for them to boost profitability, reduce waste, and prevent crop loss due to weeds or insects.

9. IMPROVING INNOVATION AND EFFICIENCY Efficiency is the key when it comes to better agriculture practices. To achieve this, farmers should be armed with important data points related to their crops, machinery, and resources. Again, big data analytics and AI application development services allow them to maximize their efficiency by providing vital cues, assistance, and guidance.

10. IN CLOSING Data-driven agriculture boosts productivity and quality. It can even help to fight agricultural- based challenges like increasing food demand. The point is simple: modern businesses need to act and implement reliable technologies like big data analytics to promote smart farming. And if you are willing to get started, feel free to discuss your project with us. We have the right tools and expertise to make use of leading big data, artificial intelligence, and machine learning development services. So, we are able to help you make the most of these services by integrating them into your current business strategy. PREPARED BY Softprodigy