SYSTEM FOR PRODUCTION OF SEEDLINGS USING ROBOTS AND MACHINE LEARNING AND PROCEDURE FOR THE AUTOMATED PRODUCTION AND CARE OF SEEDLINGS

This invention proposes a system for the production of seedlings using robots and machine learning and a procedure for the automated production and care of seedlings. The system for automated seedling cultivation includes a robot (1) with a gripper (2) and steps: module for shredding, dosing and transporting of soil (4), sowing module (5), module for watering, dewing, fertilizing and treating with pesticides (6) and module for parasite detection and seedling infection assessment (7). The process takes place within a working cell where the robot (1), manipulating the modules performs all the necessary steps of care and cultivation of seedlings, following the cycle of plant development from seeds to seedlings ready for transplanting. The process of automated production and care of seedlings includes preparation and transport of soil, watering, dewing, fertilizing and treating plants with pesticides. Machine learning algorithms detect parasites on plant leaves and make a decision on further treatment. The key advantages of this approach are automated monitoring of plant life cycle and health, and reduction of time required for resource management through a controlled production process. Ovaj pronalazak predlaže sistem za proizvodnju rasada primenom robota i mašinskog učenja i postupak automatizovane proizvodnje i nege rasada. Sistem za automatizovano uzgajanje rasada obuhvata robota (1) sa hvataljkom (2) i module: modul za usitnjavanje, doziranje i transport zemlje (4), modul za sejanje (5), modul za zalivanje, orošavanje, prihranjivanje i tretiranje pesticidima (6) i modul za detekciju parazita i odlučivanje o stepenu zaraženosti rasada (7). Postupak se odvija u okviru radne ćelije u kojoj robot (1) manipulišući modulima radi sve potrebne korake nege i uzgoja rasada prateći ciklus razvoja biljke od semena do rasada spremnog za presađivanje. Postupak automatizovane proizvodnje i nege rasada obuhvata pripremu i transport zemlje, zalivanje, orošavanje, prihranjivanje i tretiranje pesticidima. Algoritmi dubokog učenja detektuju parazita na listovima biljaka i donose odluke o daljem tretiranju. Ključne prednosti pristupa su automatizovano praćenje životnog ciklusa i zdravlja biljaka, i smanjenje vremena potrebnog za upravljanje resursima kroz kontrolisani proces proizvodnje.