In India, agriculture is the foremost source of livelihood for majority of the population. It’s a fact that India is privileged with vast expanse of arable land with various agro-climatic zones that include various weather conditions, soil types and capability to grow a variety of crops.

Though we have several decades of planning, majority of our farmers are facing difficulties in producing larger number of crops. One major constrain that is faced by Indian agriculture sector is less use of technology and mechanisation.

Since future of agriculture is a key concern to agriculturists, there is a need for a paradigm shift to work towards cost effective technologies to enhance the Indian agriculture scenario.

Intelligent connected devices are on the upswing in many of the sectors and hence there is no reason for a step back for the agriculture sector. Advent of IoT has overcome many challenges faced by farmers.

In general, we have many IoT applications such as

1. Smart Green housing

2. Crop Management

3.Precision Farming

4. Predictive Analysis

5.Farm Management

Automated Agriculture is a diverse sphere and a perfect niche for innovations in robotics and autonomous machines. Off late Agrobots cope up with a wide range of tasks like seeding and weeding, automatic irrigation, harvest automation, Monitoring and analysis, Disaster Protection etc.

Benefits of Smart Farming

The advent of technologies and IoT have a great transformation in agriculture in many aspects like Data collection, control of internal processes, cost management, waste reduction, increase in product quality.

Challenges Faced in Agricultural Sector

Problems related to security, speed, cost can be overcome by many edge computing technologies.

In agricultural variety another main challenge is that it has multispectral images. The data are to be analysed into different format for different application domains. Hence image capturing and analysis plays a challenging development in the field of agriculture. Capturing the images poses a challenge because it requires a powerful processing capacity to capture huge data, since the accuracy of aerial data is directly related to the spatial resolution of the imagery

The revolution in agriculture is around the corner and the digital revolution holds tremendous promise for today’s challenges, innovations, and growth for a fertile ground.

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