Drones Become Aerial Workhorses of Tea

by

By Peter Keen

Drones are becoming as core to tea farming as smartphones. That’s about a bold and debatable a statement prediction as saying that climate change is causing problems. The two certainties are interrelated. Drones are a powerful tool in the sustainable development to increase global food supply by 70% in the next decade to meet population growth.

Technically, a drone is a type of UAV (unmanned aerial vehicle): Yes, and an Apple iPhone, Samsung Galaxy, or Huawei Mate is just a mobile version of a landline telephone. Drones are a combination of smartphone apps, flying tractor, field manager, and worker, air taxi, and photography studio with X-ray cameras. None of this is gee-whiz or technobabble. It’s here now. Obviously, operational, financial, political, and regulatory factors can slow or accelerate diffusion and adoption, but that’s the same for smartphones, too. The infrastructures for embedding drones in agriculture are largely in place.

The main components of drones that open up high-value opportunities for tea farmers and even sellers and servers are:

Flying device: Fixed wing drones are mini-planes and can carry loads of up to 80 pounds – of chemical sprays, water, seeds, packages, fertilizer, sensors, and cameras. Copters are generally smaller and take off and land vertically. They are the ones best suited for small tea farms, whereas fixed-wing drones are the tool of Brazil’s huge coffee estates, Japanese rice fields, and Australian livestock framing. A good quality basic copter costs as little as $1,500, but most are in the $8-15,000 range. They have more variations in features that cars: options for dust protection, ruggedness, and flight range (typically 5-40 minutes), for instance.

Cameras: These range from high-resolution multi-pixel visual image equipment for $200 or so, through to near-infrared ones ($500-5,000). Hyperspectral cameras that can take visual images on the same flight as those from invisible light up to NDVI (normalized difference vegetative index) international standard measurements of the amount, type and health of vegetation in a scan.  ($6,000 and up. And up.)

These multispectral kits have access to plenty of software to process the drone data. The options range from standalone laptop to network connection via an Internet wireless “cloud’ service to one of the many commercial and collaborative development agencies that interpret images and send back maps, alerts, and “prescription mapping”, recommendations, right down to “Spray here, here and here between 5 and 7 pm – oh, frost alert for Thursday.”

Sensors: These pick up temperature, nitrogen levels, moisture, soil nutrient levels, etc., where the ‘etc.’ means anything that emits a signal in the electromagnetic spectrum. A satellite won’t “see” a damp puddle or detect the invisible signs of disease on a single bush or get a lateral view of a row of plants or track a field by keeping to a consistent height of, say, 12 feet above the mountain’s changing surface. Or eight inches.

The most sophisticated sensors measure the height of plants in real-time and precisely define land masses and elevation changes. They alert farmers to drainage and soil erosion, track pest swarming, and disease spreading and build 3D representations. LIDAR cameras can be yours for $60-150,000, with (light imaging and detection ranging; laser systems that are a sort of flying MRI scanner for plants.)

Fork lift: In Longjing, China, fresh plucked Dragonwell leaf is taxied down the steep high elevation hill to the processing factory. That takes 3 minutes versus 35 for a worker. Many tea sellers are experimenting with “last mile” delivery of hot chai in Lucknow, boxes of tea in Shanghai, and serving drinks in crowded restaurants.

License: Just as you can’t drive a car without a license and its being registered, governments impose requirements, most of which limit involve authorization for commercial use and standards and training for piloting. They are generally not a blockage, as policymakers and agriculture agencies see the immense value of drones and are encouraging the many initiatives they open up, especially in geo-mapping,

Many of these payoffs from drones apply across agriculture and comprise what it is now routinely termed Precision Agriculture and Smart Farming. The differences between tea and other crops in which options are most suitable and create most value are that almost all the best harvest comes from small growers at high elevations, on remote mountains with some truly weird weather patterns. By contrast, corn and rice fields are large, flat and evenly laid out.

Drones can get up mountains easily. Smart tractors can’t. The can/can’t reverse applies. Robot crop pickers are (gradually) transforming strawberry, lettuce, and lemon tree crop picking using AI and machine vision. They won’t do well trying to clamber around a Yunnan or Bulang tea mountain or trying to pick the thousands of two leaves and a bud to make a few ounces of Castleton Darjeeling Moonlight White. Japan is an exception. Its high wage costs, aging population, and the unwillingness of workers to labor in tea fields is driving the use of robots everywhere: to take on nursing functions in hospitals, make beds in hotels, and farm tea.

Here are just a few examples of proven payoffs that are tea-specific or tea-inevitable. The latter include the many pilots, programs in the design stage and scattered individual implementations:

Infra-red plant diagnostics: signs of plant stress are apparent through sensors ten days before the physical damage is visible. Drones carry multispectral cameras that can move just a few feet above plants

Mapping and profiling: Data is at the very core of precision agriculture and improve extend by an incalculable degree the costs, ease, and variety of capture and also usage. Each single plant has its own growth and health characteristics, each meter of land its own conditions, and each day its subtle and volatile weather shifts. There’s always been too much data for a farmer to process, though they develop their own skills of spotting and interpreting. They still have too little data to cover all contingencies and act quickly.

Drones change all this, supported by geospatial data analytic software and ability to communicate with experts remotely. They also augment or reduce the need for workers in the field, responsible for walkabout scouting, inspection, and surveillance. Drones have been neatly described as “high flying babysitters” for the fields.

Imaging and mapping: drones halve the costs of satellite imaging for farms smaller than twenty hectares and increase frequency of updates from around two days to whenever you want. They are unaffected by clouds.

Spraying and fertilization: water savings in irrigation of up to 90%, chemicals reduced 30-50% and fertilizer use by up to 70%. Labor savings factor of 10 and up, 5 times faster than tractor application of pesticides. This is the “precision” in smart farming: delivering the exact amount at the exact location at the exact time instead of spreading it across an entire area. Over time, this should also greatly reduce the often appallingly high level of health hazards, many life-shortening, of workers that are the direct result of imprecise spraying.

Harvest yield: field mapping and farm profiling aid in such key areas as precision in fertilizer and water use. One of the most successful region-wide deployment of Big Data tools via drone data collection reports a doubling of yield and a 70% increase in smallholder incomes.

Planting: decrease in costs of 85%. The drones punch holes and shoot seeds and seedlings plus doses of nutrients in them for reforestation of trees that tea fields need in their environment to ensure biodiversity and shade. The latest drones can plant 40,000 trees a day.

The examples can be multiplied. It’s a little like listing smartphone apps. It will take many years for them to be fully deployed. Public sector development agencies, specialty service providers, farming experts, and government programs set the pace and provide much of the funding. There are many complexities involved in organizing, categorizing and standardizing data. Education and building trust among the traditionalist and natural risk-averse smallholder tea growing communities are a vital enabler. Expertise in tea farming has to be added to technology services. Internet connectivity is essential.

With all these caveats, the take-up rate of drones is accelerating in agriculture. It tends to be fastest in high-value crops; drones are near commonplace in Chinese fruit orchards where there is strong Provincial government support. Brazil is a major innovator in both drone manufacturing, software and use. Assam is a hive of planning, but key issues of funding are not resolved. Africa’s tea growing nations, especially Uganda and Malawi, are very active.

And eBay lists well over a hundred agriculture drones for sale, from $1,200 to $7,500. In the old cliché, the future is now.