News Release

Newton funding to bolster China's long-term growth and global economy with agri-tech innovation

Business Announcement

Earlham Institute

Newton Funding to Bolster China's Long-Term Growth and Global Economy with Agri-Tech Innovation

image: The National Food Production Centre for Smart Farming Services (Xinghua City, Jiangsu Province), based on NAU and EI's Newton Agri-Tech project. Professor Tao Cheng's group at NETCIA (National Engineering and Technology Center for Information Agriculture, NAU) and the Zhou Group at the Earlham Institute were utilizing industry standard UAV to study wheat cultivation. view more 

Credit: EI

With the largest population in the world, China feeds nearly 1.4 billion people - covering 22% of the globe's inhabitants. In order to keep up with its intense food demand, China has cultivated vast areas of crops - accounting for 7% of the world's arable land.

A remarkable achievement but one that comes at a cost. Excessive use of fertilisers and chemical applications has resulted in a catalogue of environmental and agronomic issues such as soil compaction, acidification, pesticide residue toxicity, pest resistance, environmental pollution, and ecological imbalance. If not confronted promptly, China's agricultural sector and its environment are at imminent risk - damaging its long-term economic growth and potentially the global economy.

To address this monumental challenge, EI and NAU have partnered to improve agricultural practices by developing automated crop analysis based on large aerial images captured by UAVs (unmanned aerial vehicles) and fixed-wing light aircraft to identify key growth stages in wheat.

This aims to enable the Agri-Food sector to optimise the timing for fertiliser and chemical application in line with crop seasons based on agricultural aerial imagery data as well as ground-based remote sensors in the field - reducing costs and stabilising yields. The agri-solution will be built upon the existing analytic platform 'AirSurf' and expertise in machine-learning based image analysis, led by the Zhou Group at EI, together with key intellectual contributions from NAU.

EI project lead, Dr Ji Zhou, said: "Our innovative analytic technology will help resolve real-world problems in food security and precision agriculture; initially benefiting local agricultural authorities in the Jiangsu province through local agronomic demonstration centres and cultivation experts, and native farmers. Through the 'Field Day of Precision Crop Cultivation', we will demonstrate our research to agricultural practitioners (e.g. growers, farmers and breeders), who require advanced technologies to monitor crop fields and gain a better understanding of fertiliser and chemical applications.

"This project will also benefit and help modernise Agri-Crop and Agri-Tech sectors in both China and the UK. In particular, for Agri-Food Research & Development in China, our work can support the establishment of a smart, sustainable and adaptable agricultural system - empowering the country's productivity and sustainability in crop improvement and agricultural practices," said Dr Zhou.

Long-term, the project will apply AirSurf to industrial applications to further support the Agri-Food sector; sharing invaluable expertise, knowledge and software analytic platforms in key areas of crop research including phenotyping, breeding, cultivation, agricultural practices, and Agri-Tech innovation for bread wheat.

NAU project lead Prof Tao Cheng, added: "Through this Newton Network+ project in collaboration with Dr Zhou at the Earlham Institute, the two research groups will continuously develop our strengths in precision agriculture and information technologies. We aim to introduce the latest development in computing sciences to crop growth monitoring research, based on which we will create novel approaches to reliably measure key growth stages and predict yield production for wheat. Our ultimate target is to promote Agri-Tech innovations and modernise agriculture in both China and the UK".

###


Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.