Volume 2 - Issue 2, March - April 2026

Weed operation is among the most significant way for agrarian crop product. Herbaceous species contend with crops for nutrients, sun, water and soil coffers which greatly reduces crop yield and productivity. Weed junking is done traditionally by homemade sweats or chemical dressings, both of which have a number of limitations including high labour conditions, time consumption and implicit environmental impact. also, as bedded systems and agrarian robotization technologies further develop, robotic styles have handed promising results in enhancing husbandry systems. In this paper, we present a design and development of semi-automated weed junking machine which can help growers to cover the crop fields efficiently by drawing the weed in effective manner. A bedded control unit with wireless communication and real- time monitoring is used to develop the system. The robot corresponds of the robotic platform, multiple DC gear motors for translational movement stepper motor for cutting medium used for unwanted weed junking in this weeding process above soil face. The motor control circuits, relay switching medium and rechargeable power force can ensure stable operation when the device moves in the field and cuts backwoods. Experimental tests were performed in order to assess the mobility of the robotic platform, cutting capability and effectiveness of operation. The issues show the developed ranch- scale squash weed check approach is able of reducing homemade labour conditions, while also perfecting the effectiveness of organic abdominal weed control compared to assiduity norms. Proposed system can act as a doable and low- cost result feeding to small and medium scale husbandry practices, paving way for robotization technologies in ultramodern day tilling fashion.

Harish A, Dr.G.Vani,"Driver Drowsiness Detection Using Python" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(532-535) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.