Agro Data

Agro Data

Today big data is ubiquitous, machine learning applications are thriving, artificial intelligence appears in everyday conversions, internet of things is present even in household applications. Businesses are organisations are increasingly managed through cloud computing and high performance computing is progressively accessible as a service. As high fidelity sensory devices are becoming more accessible, data records are accumulated and open up opportunities for tackling food security problems more accurately and inclusively.

Looking at agriculture, it is easy to imagine that technological developments can bring benefits not only to the sector, bu to society as a whole. The agriculture sector is characterised by relatively low operational efficiency and small managerial power due to farm size limitations, a high level of uncertainty because of weather and environmental conditions and a volatile balance between food supply and demand due to growing and breeding times of crops and livestock. Using technological advancements we can have realtime decision support, which can revolutionise agriculture to a great extent. Food could be produced more efficiently of higher nutritional quality, in more stable supplies with less environmental damages and with additional economic, social and ecological benefits.

Applying technology in agriculture sector can help in:

  • Tackling the Environment

The entire productivity of farmers is closely tied into the environment and weather systems of their regions. Due to the ill-effect of global warming, the environment continues to throw uncertainties in this department. Thus, it’s become increasingly hard for farmers to deal with the many variables associated with farming today

The utilisation of various sensory and analytical tools allows farmers to closely monitor the conditions of their environment in real time. By monitoring such vital data points closely, farmers can stay ahead of their problems and better marshal their resources during times of trouble.

  • Improving Innovation and Efficiency

Efficiency is the key when it comes to improving farming practices as the entire future of the world population depends upon it. In order to achieve this, farmers need to be armed with Important data points related to their crops and resources. Big data allows farmers to maximise their efficiency by providing vital cues. It also holds the potential to continually adopt to the challenges and offer insights every step of the way.

  • Minimising Costs

When the efficiency of a farm and all its resources are improved, it has direct and substantial impact on the costs incurred by the farmers. Big data can help farmers save money by improving efficiency and make more money by improving vital processes.

  • Improving Supply Chain Management

One of the most crucial areas where analytics is utilised is in supply chain management. This can be lengthy and complex chain featuring retails, stakeholders and distributers. Analytical tools can be used to better the process every step of the way of the supply chain, thereby having a resounding impact on ot society as a whole.

  • Farm Equipment Management

Remote management of agriculture machinery helps large farms reduce costs. Thanks to the big data applications that can process and analyse stream of data retrieved by a variety of sensors, ranging from satellites to farming equipments, farmers can remotely track their machinery in the field. This way they can eliminate all the unnecessary routes, considerably lowering spendings on fuel.

Big data revolution is in its early stages and most of the potential of value creation is still unclaimed. But it has set the industry on a path of rapid change and new discoveries. Our objective is to harness the technology in favour of the improvement of agriculture and every aspect of it.