Farming robots collecting plant breeding data

Being used more and more on production farms, farming robots collecting plant breeding data start paving their way to the research department.

When monitoring the plants growth, researchers are gathering information to characterize every experimental condition. Yield and harvest quality are useful results but most of the time the study is more complex, it focuses on subtler trait expression. The information required can be collected manually by observing the plants and taking notations, or by farming robots collecting plant breeding data !

Farming robots can “learn” complex processes and achieve precision tasks in production fields. They replace manual labor and lessen agrochemical use, therefore reducing costs and environmental impact. Such robots also scan the production fields, gathering images to map field heterogeneities, and can as well be used to detect anomalies and apply treatment directly.

In the plant breeding department and in research stations, can be found other kinds of farming robots collecting plant breeding data in the fields. Integrating this new data set to the existing research information system can be complex and challenging. How can the IT system be adapted to integrate, store and analyze all this data?

1. Farming robots in the production fields

Oz

Vitirover

Ecorobotic

In production farms, farming robots can replace hard work such as fruit picking, pruning or chemical sprayings: by weeds destruction or drone auxiliaries dropping.

• Automatic mechanical weeding, such as Oz by Naïo and Anatis by Carré
• Grass management robots for vineyards and forestry such as Vitirover
• Precision spraying of herbicide (Ecorobotix) or auxiliaries (Parabug) for field crops
• Soil preparation with the high precision geopositioning CEOL by Agreenculture

Will these herds of mowers replace herbicides in the fields? It may soon become a reality, and we’ll see more and more help from robots, starting with fruit crops since they require manual work to maintain the trees and pick fruits, such as pruning bots.

Research departments worldwide are currently studying such farming robots, either to create new ones or to study the benefits of existing models on specific crops.

2. Farming robots collecting plant breeding data

Monitoring a field for breeding or testing involves land planning and plant monitoring, usually done manually, with the help of data collection software. There comes the sensor-embedded farming robot collecting plant breeding data, which are “especially useful for plant breeders, who have to painstakingly analyze thousands of plants for plant size and color, fruit size and form, and insect damage” as explains Bosch experts about their Deepfield Robotics project.

Bonirob

Physiocap

Carré

Farming robots collecting plant breeding data

• The BoniRob is an agricultural robot developed by Bosch that can conduct autonomously repeating phenotyping tasks for crop stands and even for individual plants. Furthermore, it can be used as a carrier, supplier and base for multiple BoniRob-Apps. Current apps are (i) phenotyping, (ii) penetrometer and (iii) precision spraying.
• The vineyard mapping Physiocap by Fruition Sciences that measures shoot diameter, number of shoots per vine and average biomass, in each row it scans and generates maps.
• The Anatis robot by Carré is an example of auto-driving soil preparation robot able to collect several measures on the soil, air and plants.

Thorvald

Armadillo

Prototypes of farming robots collecting plant breeding data

Phénomobile

Heliaphen

High throughput phenotyping

This area of research consists in gathering as many pictures and measures of the studied plants as possible, generating a big data set that can increase the efficiency of crop improvement. Phenotyping platforms (HTPPs) such as Phenopsis enable such study indoor, but farming robots collecting breeding data are providing similar services to field breeding and testing:

• The autonomous Phénomobile platform that collects plant information for evaluating growth, nutrition and stress data.
• Heliaphen by Sunrise is a high throughput phenotyping robot to study plant responses to draught stress from germination to maturity.
• The autonomous Robotanist by Carnegie Mellon University’s Robotics Institute provides high resolution spatial, spectral, and physical information about Sorghum field data.

Comparison of various toold to collect plant breeding data.

• DEBIT: How much information they provide over time.
• EXHAUSTIVITY: How many plots can be covered over a period of time.

Integration of the farming robot collecting plant breeding data to the research IT system

• Planning of data capture projects with such tools
• Centralization of results captured
  
• Integration into the general process of breeding decision making thanks to data analysis tools.