Nutritional Agricultural network farming Cooperative (The Go Green concept)


Logo :
Project owner's name :
Mrs Nalova Nancy
Country of deployment for the project :
Cameroon
Sector :
Agriculture
What problem does your company want to solve? :
Food scarcity, worlds population is estimated to reach about 10billion in 2025 ,which means double Agricultural production in order to meet food demands which is about 70% increase in food production.
What solution does your company provide? :
our Al systems will bring digitalized Agriculture Digital identity Clear delimitation of farm lands farm mapping and farmers revenues plummet Soil sustainability Increase in Production
Describe your project :
The worlds population is estimated to reach about 10billion in 2025 ,which means double Agricultural production in order to meet food demands which is about 70% increase in food production. Hence enterprises require new and innovative technologies to face and overcome these challenges. With artificial intelligence in Agriculture,we will be able to overcome and resolve these challenges by providinb Al monitoring systems and also Automate Farming activities,which can manage crop quality, identity pest and disease out break before it occurs , monitor biotic and abiotic factors and stress from the farm . We will provide big farms with Al monitoring systems that will manage and upgrade their farms . We will present to the customer the advantages of using Al which are -Reducing production costs of crops making the industry more sustainable. -increasing crop yield and crop health . -minimise environmental impacts and damages caused by too much application of water and excess agrichemicals Lower labor force input for irrigation process maintenance Al systems will enable early monitoring notifications this system is built upon the basis of wireless sensors capture long term and up to the minutes natural environmental fluctuations in crops farms . Our Al systems will also be used for Harvesting crops . The use of artificial intelligence based methods offer a promising approach to yield prediction and favorable growth increases in farms .
Presentation video :