Here are 5 Things You Should Never Do With Your Money

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  Each day, you rise up and are faced with options of the things to do with money. Your opinions for each of these options possess an effect on your being. They can make or mar you in the future, and it can even affect your personality and your lifestyle. Many people are always confused about how to use their money wisely and without regret. While some will think they are spending their money wisely whereas they are wasting it. That is why you need to get advice from people that know better how to manage and spend money wisely.  In this article we highlight the things you should not spend your money on. 5 Things You Should Not Spend Your Money on 1. Household Cleaners : Making your own homemade household cleaners is very cheap. And surprisingly, they certainly work nicer than you might think. Every year people waste rising sums of money on home cleaning products.  You can conserve small money by making your own at home, and customizing them the way you like. Examples of these household

Sweeper robot for harvesting fruit.


Researchers have now developed an advanced harvesting robot that is designed to operate in a single stem row cropping system, with non-clustered fruits and little leaf occlusion.This robot harvests ripe fruits in 24 seconds with a success rate of 62 per cent.


The robot, named "Sweeper", picks methodically and accurately, said co-author Polina Kurtser from the Ben-Gurion University of the Negev in Beersheba, Israel.And when it's fully developed it will enable 24/7 harvesting.

One of the researchers said that Based upon these latest results, the "Sweeper" consortium expects that a commercial sweet pepper harvesting robot will be available within four to five years, and that the technology could be adapted for harvesting other crops.

This robot was introduced last week at the Research Station for Vegetable Production at St. Katelijne Waver in Belgium.

The team says that additional research is needed to increase the robot's work speed to reach a higher harvest success rate.

The team spearheaded efforts to improve the robot's ability to detect ripe produce using computer vision, and has played a role in defining the specifications of the robot's hardware and software interfaces, focusing on supervisory control activities.

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