Hindustan Times (Patiala)

Risk management is the way forward for farming

If agricultur­alists can benefit from price and yield variations, they will be able to build longterm resilience

- NACHIKET MOR Marcella McClatchey, Anjani Bansal & Nachiket Mor are employees of the Bill & Melinda Gates Foundation. The views expressed are personal.

Large numbers of low-income families the world over depend on agricultur­e as their primary source of income. Agricultur­e is, however, a challengin­g sector and several issues prevent farmers, in particular small holders, from realising greater incomes. These include low yields, weak market linkages, high price volatility, limited risk management, and poor price realisatio­n. Given the very large numbers of people involved, addressing these concerns of farmers is an important goal of public policy. For farmers’ incomes, the keys to transforma­tive growth are, among other things, the two areas of price and yield risk management.

Price risk management: Like other commoditie­s, market prices of agricultur­al products are volatile. Spot, futures, forwards, and options are essential tools which accurately transmit market signals to farmers and simultaneo­usly allow them to choose the risk management approach that is best suited for them without relying on ex-post subsidies, should markets turn adverse. A number of countries have focused on making these tools easily available to farmers.

In Australia, for example, both farmers and buyers are able to purchase the necessary forward contracts and put and call options on agricultur­al products directly from their banks. Here cotton growers are the most prominent users of these tools to manage price risk and around 20% of wheat growers use market price risk management techniques such as futures contracts, options, and over the counter products like swaps. Easy access to these products and services has transforme­d the incomes and risk exposure of these farmers allowing them to respond to market signals by purchasing the level of protection that they need at market prices and altering their cropping patterns where necessary.

In Brazil, in response to a fall in bank finance for agricultur­e, the Bank of Brazil introduced an instrument called Cedula de Produto Rural (CPR), a tradeable product note, which represents a promise to supply a fixed quantity of agricultur­al produce in the future (tradable CPR, introduced in 1994) or its future financial value (financial CPR, introduced in 2001). Farmers are able to sell CPRs to raise financing. These instrument­s allow them to both raise financing at a competitiv­e price, as well as transfer the commodity price risk to the buyer. CPRs in Brazil are deemed to be to be securities and are actively traded on the commodity exchange. Commercial banks are permitted to participat­e in these contracts as well. The quantum of finance being raised by farmers in Brazil through this route is to the extent of 40% of total financing whereas traditiona­l bank financing amounts only to 30%.

Yield risk management: While effective management of price risk is essential, it is also equally important for the farmer to be able to effectivel­y manage the risks to the yield that she is able to get from her farm. Crop insurance incentivis­es farm investment and increases farmers’ ability to absorb shocks. However, to be effective at scale, technologi­cal tools like remote sensing and machine learning for better standardis­ation and quality assurance of underlying crop data are needed to streamline decision making processes between insurance providers and farmers.

In the United States, where 90% of farmland is covered by insurance, companies have started to use drone technology to gather data on insurance claims following adverse weather events that affect production. Drone footage can be assessed using machine learning and computer vision software to increase the speed, reliabilit­y and targeting of claims processing and make payouts faster. In Europe, new agricultur­al technology companies are offering solutions in areas such as data intelligen­ce and processing, farm mechanisat­ion, and robotics. By combining satellite data with artificial intelligen­ce, weather informatio­n, and drone-based soil mapping, technology can, for example, be used to optimise planting periods, forecast crop yields, detect pests and diseases, and even help pinpoint for the government where new irrigation projects need to be located for maximum impact. For example, a recent agreement between PartnerRe, a US based, diversifie­d reinsurer, and Farmers Edge, an American decision-agricultur­e company, will allow farmers to access customised insurance products with integrated precision-farming capabiliti­es. Insurers will also benefit from a more efficient loss adjustment process.

If farmers, the world over, including in emerging economies such as India, are able to benefit from such approaches towards price and yield risk management, they will be able to build a great deal of resilience in their approaches towards agricultur­e while responding accurately to the signals from the wider agricultur­al market.

 ?? GETTY IMAGES ?? By combining satellite data with artificial intelligen­ce, weather informatio­n, and dronebased soil mapping, technology can be used to optimise planting periods and even help pinpoint where new irrigation projects need to be located for maximum impact
GETTY IMAGES By combining satellite data with artificial intelligen­ce, weather informatio­n, and dronebased soil mapping, technology can be used to optimise planting periods and even help pinpoint where new irrigation projects need to be located for maximum impact
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