Benefits in several ways

Since details of areas in a single farm can be traced, precision farming benefits farmers in several ways.

Refined set of cultivation practices and choice of crops based on suitability of land

Elimination of volatility and risk

Waste management

Reduced production costs

Minimum environmental impact

Optimized use of fertilizers

Water management

Summary

Precision farming is the adoption of highly precise set of practices that uses technology to cater to the needs of individual plots and crops. Big data analytics software (SaaS) such as CropIn or robots such as drones can be used to get detailed information of plot, soil type, suitable crops, irrigation and fertilizer needs. The information obtained is used to tailor a very unerring selection of crops, fertilizer quantity and watering needs. Precision agriculture helps farmers live a debt free life as production cost and losses are reduced and overall environmental impact is also minimized.

FAQs

What tools do I have to adapt to Precision farming?

Precision farming focuses on reducing the production cost and wastage, as tailored needs of each plot is catered to. It centres on data collection and analysis of farmpIots which comprises of sensors, drones and robots for recording the data and software as a service (SaaS) can be used to adapt to Precision farming.

Although IoT is still at a nascent stage, the governments of agriculture dominant economies do invest in cutting-edge technologies like IoT, AI and Machine Learning for making smarter agriculture solutions. In agri-based economies like India, the implementation of IoT in agriculture has its own set of unique benefits and challenges. Firstly, the farmers fear upgrading to agtech as they lack the knowledge about the applicability of technology in agriculture.

Besides this, the sensors, robots and drones that are used in the development of IoT solutions are expensive, high maintenance and require technically trained labor for operating them. The data collected needs to be analysed - this can be done by taking them to a lab or by using instruments on farm. Also a variety of sensors are required for collecting data on different parameters which needs to be analysed separately, hence making them high budget. Therefore, the solution must be cost-effective and highly scalable, considering the various sizes of farms.

More economical, scalable and accurate solution is the implementation of Cloud-based SaaS (Software as a Service) solutions. These softwares used in agriculture technology focuses on providing modern farming solutions that help farmers, agribusinesses and other stakeholders to make smart decisions based on the analysis of data. CropIn is at the forefront of making agriculture smarter with use of satellite imagery, weather analysis and machine learning for monitoring, detection, analysis and prediction. CropIn’s smart applications can be integrated with already installed software and sensors through APIs. The data gathered on soil or moisture levels, temperature changes, or crop can be processed using the capabilities of Big Data Analytics and Machine Learning algorithms to provide actionable insights based on the accuracy of collected data.


Can Digital Economy Help Agriculture?

The recent rapid digitalisation has reduced the exhaustive paper work in banks, hospitals and most private and public sector organizations seems to diminish as their businesses move online. Digitisation has reduced the manual work - which was time consuming, error prone and inefficient - thus saving millions for corporations. Digitization of the economy has broken the barriers and has successfully curtailed the fear of tech dependency especially among the farming community. Digitalisation is slowly also revolutionising the vast and complex Agriculture sector.

The United Nations projects that by the year 2050 the population of the world will be 9.7 Billion. With relevance of over 60 percent of world population on agriculture for food, the pressure to increase the produce to meet demands doesn’t seem to ease. Coupled with climate change, which is leading to rise in global temperatures, levels of carbon dioxide and frequency of droughts and floods, along with increasing labor costs, high production cost, and unpredictability poses a major challenge to the future of agriculture. Hence, the goal is to increase productivity in a sustainable way.

The recent rapid digitalisation has reduced the exhaustive paper work in banks, hospitals and most private and public sector organizations seems to diminish as their businesses move online. Digitisation has reduced the manual work - which was time consuming, error prone and inefficient - thus saving millions for corporations. Digitization of the economy has broken the barriers and has successfully curtailed the fear of tech dependency especially among the farming community. Digitalisation is slowly also revolutionising the vast and complex Agriculture sector.

The United Nations projects that by the year 2050 the population of the world will be 9.7 Billion. With relevance of over 60 percent of world population on agriculture for food, the pressure to increase the produce to meet demands doesn’t seem to ease. Coupled with climate change, which is leading to rise in global temperatures, levels of carbon dioxide and frequency of droughts and floods, along with increasing labor costs, high production cost, and unpredictability poses a major challenge to the future of agriculture. Hence, the goal is to increase productivity in a sustainable way.