ADVANCING AGRICULTURAL PRODUCTIVITY THROUGH THE DEVELOPMENT OF AUTONOMOUS ROBOTS FOR PRECISION SEEDING AND PLANTING

Abstract

The agriculture sector leads development efforts for sustainable technology since environmental concerns and growing populations require new ways of producing sufficient amounts of food. The planting and harvesting operations of agricultural robots disrupted traditional farming practices and they now function as a disruptive industrial force. This article provides an extensive review of current agricultural robots by explaining their applications combined with technological advancements and benefits and limitations alongside projected developments. The agricultural sector underwent a fundamental transformation when various robots were developed to maximize planting and harvesting operations during the past few years. The agricultural sector now utilizes autonomous vehicles to plant efficiently as well as robotic arms to harvest accurately and drones which employ superior sensors. A fusion of these technological systems will reduce environmental impacts on farming operations alongside decreased staffing costs and maximized resource performance. The core value of precision agriculture relies on harvesting robots because these machines utilize computer vision and machine learning to detect ripened crops while performing accurate harvesting functions. The research outcomes confirm that well-implemented robotic systems for harvesting fruits and vegetables bring about better output levels along with reduced waste during production. The seeding operational area has proven suitable for agricultural robots because they now automate seeding activities from transplanting to sowing. The technologies provide precise seed spacing and depth guarantees that lead to higher accuracy with planting operations and better harvest outcomes. The article examines seeding robot uses and advancements to show how they modify standard seed planting approaches. Industrial progress in navigation control systems sensing and imaging technology directly influences agricultural robotics development. Real-time log analysis with sensors and cameras and autonomous navigation structures enables these robots to perform with extreme accuracy which helps achieve the ultimate goal of automated agricultural structures.