An Eagle Eye Over The Farm

To address challenges of India바카라�s largely antiquated agriculture sector, the government is quietly turning to scientific prowess, harnessing everything from android apps and drones to satellites.

Amid farmer protests in two states, the country바카라�s chief economic adviser, Arvind Subramanian, rev­ealed this past week that the median monthly farm household income was still a paltry Rs 1600. Robust agriculture growth can cut poverty twice as fast as industrial growth in countries with large agriculture-dependent populations. Yet, a majority of Indian farmers바카라�who are classified as small and marginal바카라�are tied to low incomes.  

Despite these basic problems, auth­orities say they are junking traditional practices of analysing agriculture and turning to new technologies to ­estimate output and demand and supply, as well as to deal with newer challenges, such as frequent weather shocks. Three of the past five years saw extreme weather events, such as drought and unseasonal hail. But the ground data on agriculture is often unreliable; therefore, when droughts crimp output and food prices soar, authorities often struggle to figure out precise stocks. Consequently, it바카라�s hard to tell if prices have edged up due to hoarding by ­profiteering traders or ­because of a real ­supply crunch.

Farmers who qualify for drought compensation are paid off well after the next season because the losses take time to be estimated. It바카라�s done through a British-era method called 바카라�crop­-cutting바카라�, where damaged crops are cut and weighed to estimate yield losses. These are typical problems where, scientists say, the drones could be of help.

바카라�Data from the drones will help build a national inventory of major horticulture crops,바카라� says Sunil Dubey, a senior scientist at the Mahalanobis National Crop Forecast Centre (MNCFC). This will give better output ­estimates. The project is being run in coordination with 12 state horticulture departments.

The inventory will help decide where cold-storage facilities are needed. Data from the drones is also being analysed to ­develop more and more precision farming models.  

바카라�If we are interested in studying, say, just the rice crop, a digital image is taken and uploaded on a satellite-based geo-portal platform called Bhuvan,바카라� says Dubey. One of India바카라�s several Bhuvan-linked satellites matches this with other similar crops across the country, producing quick results. This process can be rep­eated across seasons to get instant location-based data to analyse crop health.

Satellite data is now officially used for output estimates of horticultural crops such as potato, onion, tomato, chilli, mango and banana. These items play an important role in food inflation. Agr­iculture departments in states are now making local-level action plans based on geographical information system tools. The data will also help in deciding newer sites where horticulture could be more profitable for poor farmers.

In five potato-producing states바카라�Bihar, Gujarat, Punjab, Uttar Pradesh, West Bengal바카라�production estimates are now through satellites. Policymakers are foc­using on horticulture because data shows that more and more small farmers are taking to it. In a path-breaking trend, horticulture output last year outstripped foodgrains production for the fifth year in a row.

India바카라�s growing cellphone subscriber base, estimated at one billion, is also proving fortuitous. At 400 million, India바카라�s smartphone users, who subscribe to data, now outnumber the US바카라�s. Nearly 150 million of them are rural consumers. It바카라�s a window to push farm advisories. Several android apps are now being used by farmers and officials alike.

Take for instance the 90 million farmers who are now subscribed to farm advisories through the mKisan app, developed by the Pune-based Centre for Development of Advanced Computing.

In key states, revenue officials are being trained to use 바카라�CCE Agri바카라�, an ­android app developed by the Mahalonobis National Crop Forecasting Centre to estimate crop losses. Going forward, all compensation under the Pradhan Mantri Fasal Bima Yojana, the national crop insurance scheme, will have to be based on these hand-held generated estimates.

바카라�When done manually, nearly 9 lakh crop-cutting experiments are required in case of a widespread drought. This is time-consuming,바카라� says senior scientist Karan Choudhary, assistant director at the Mahalonobis centre.  

Using artificial intelligence, the and­roid app can give a four-category vegetation index, from good to worse. This can be used by revenue officials to quickly calculate the quantum of losses.

The Bhuvan Hailstorm App, another android application, is designed to assess hailstorm losses. Each of the last three years witnessed a hailstorm event of a significant scale in five states: Maharashtra, Madhya Pradesh, Him­achal Pradesh, Haryana and Punjab. The app captures field photographs with latitude and longitude, name of crop, date of sowing, date of likely harvesting and source of irrigation. This data automatically gets plotted on to the Bhuvan satellite system for analysis.

Another key app called Ground Truth, is ­now operational in 1,100 locations, ­mon­itored by state agriculture departments for crop conditions.  바카라�Pest control is a major area. With satellite-backed data via high-res images, we get information directly over an affected crop region,바카라� says Shalini Saxena, another government scientist.

The information collected by these new age devices will provide newer ­insights on the challenges in farming. In order to address the problems of small farmers, however, experts feel that technology would deliver if it is customised to their needs first. 바카라�Small and marginal farmers are complete strangers to technology,바카라� says Gulab Chand Rai, a former professor at Punjab agricultural university who headed a farmer commission. A ­sob­­ering contrast to these hi-tech inter­ventions are surveys like the landmark Socio-Economic Caste Census of 2015 which showed that only four per cent of rural farming households had ­mechanised farms.