AGRICULTURE AUTOMATION Key To Fly with Innovation in Agriculture for Future Food Security

 

Adoption Of Tech tools like Artificial Intelligence | Big Data to diagnose Crop diseases -- Big Data Driven Smart Agriculture:

Increasing Agricultural production is top most solution in the face of rapid population growth through digitization of agriculture by using most developed technology like big data. 

Limelight On the Most Neglected Sector - 

Nowadays rapid population growth is a major challenge. Only increasing agricultural production can meet the challenges of rapid growth of population. Technology is the only key to increase the production in agriculture in terms of quality and quantity. Big data technology can be an appropriate instrument to increase agriculture production and meet the future challenges. 

The big data has a big potential in the field of agriculture. The proper understanding of big data can help to solve the challenges of agricultural practices and subsequently increasing production and quality. Smart agriculture can tackle all the threats related to crop, fish or animal production by avoiding risks pest attack, soil and environmental factors. It is one of the key tools for achieving sustainable agriculture. It also helps to protect natural resources and environment. It is based on ecosystem friendly approach which applies the practices of major disciplines like biological, physical, economic and social sciences in a holistic way. Big data is an appropriate tool to transform, traditional agriculture and drive the smart agriculture.

Challenges Faced by Agriculture  Field ---

The traditional agriculture was based on the traditional practices without analyzing the information but smart agriculture requires a continuous flow of information and knowledge prioritizing the specific local contexts. The specific localization of knowledge helps to understand the local environmental & Organisational Challenges.

Technological & Organisational Challenges plays Vital Role while implementing Big Data.

In my opinion The major considerations are investment and revenue with maintaining yield, quality, safety and security. At first stage, it requires huge investment for setup the infrastructure of smart agriculture. It is possible for developing country where farmers have a lot of lands and technological smart devices are available but it is hard for populous developing country to make infrastructure. Similarly, it is hard for subsistence farmer in developing country to tackle the other technical and organizational challenges.

Key Factors to Make Revolutionary Change --

Application of big data in agriculture is comparatively new approach but the trend of application is positive. It can bring a revolutionary change in food supply chain and food security through increasing production. It provides an opportunity to use it in case of in depth, and advance level of game changing analytics for sustainable development in agriculture. The major technologies of big data are bench marking, data analytics, sensor installation, models related to prediction and management for avoiding agricultural production challenges and threats and increasing optimum production. It usually uses predictive model related to yield and feed intake and feed intake and ensures just-in time decision making related to production and business. Though decision making is generally done by human but computer can help to take proper decision using big data analytics. The agricultural practices and food chain are influenced by the mechanization and modern technology. Smart agriculture is largely depended on some push and pull factors of big data applications.  

How Big Data Can help for Agriculture Industry Development with 'Crowd Sourced' Features  --

Data is a potential tool for taking decision according to analyzing the situation. Agricultural big data means a lot of data is created naturally from different stages from seed sawing to harvesting. Big data in agriculture can help to renovate the practices of agriculture which can easily contribute in all dimensions of agriculture viz crop, livestock, fish, and agribusiness. Big data technology in agriculture is able to collect and analyze the lots of data which usually generated from various sectors and stages in agriculture. It is a new pathway to collect and analyze the big amount of data obtained from agricultural farm to the consumers. The collection of big data in agriculture is known as “crowed sourced” which can be done through aerial vehicles or drones, using special cameras and smart phones covering from satellites to smart phone applications. It is usually stored in computer database and processed by computer algorithms.

Concluding Article which can help farmers at field level for increasing production and improving quality. Our research reveals a number of available big data technologies and practices in agriculture for solving the current problems and future challenges at field level!!! 

We need to Focus on Our Country Key Growth & the most Revenue generating Sector to avoid lots of Farmers obstacles then one day We can proudly Say that One Nation One Growth !!!

Source--  E. T. Rother, “Systematic literature review X narrative review,” ACTA Paul. Enferm., vol. 20, no. 2, pp. 7–8, 2007.