Fecha de publicación: 03/05/2019 Fuente: Wipo "precision farming" Abstract:Inspite of the increasing demand for rubber, its productivity seems to be inadequate to supply the global market. In conventional tapping process, the availability of skilled labor is decreased, with the increase in the labor cost. Also inefficiency and poor tapping skills of the workers would result in damage to the trees. Inorder to replace the manual labor , an automated intelligent rule based farmrobowilh rubber tapping machine is designed and developed to take Early Warning decisions (triggering alerts)during animal intrusions with Cyber systems at the right time and right positionin Precision agriculture. Precision farm iny increase productivity.enhance profitability, and minimize environmental degradation. Farmrobo with built in-Camera analyze the Soil properties and also (Convolution Neural Networks) does ploughing, plant saplings. To cultivate the rubber in multi hectare, Satellite imagery real data is fetched using GNSS receivers and stored in a Cloud (Think-Speuk). Health of the leaf is discriminated with KNN classifier and its severeity level is determined by random forest algorithm. If healthy, growth level of the tree is checked for tapping. If not healthy, manures are selected and sprayed. The Automated Rubber Tapping Machine and the coconut shell is fixed to the rubber tree based on fuzzy based intelligent rides. From the coconut shell, latex is transferred to the bowl during 3A.M. to 6A.M since the flow of latex is maximum during early mornings.Results showed that highly skilled labour needs about 40 seconds to tap a tree, whereas the machine could do it in 20-30 seconds.