Strengthening the backbone of small farmers by developing small-sized automated machines will strengthen India as labour is scarce nowadays. Weeds are undesirable plants in a farm that substantially reduce crop yield and quality. Farmers often spend a lot of resources to reduce their impact unsuccessfully. Weed control costs 33% of the total cost of cultivation. Though intra-row weeds are 25% and inter-row weeds are 75% of the total weeds present on the farm, intra-row weeds are more dangerous than inter-row weeds. Also, they are difficult to remove. The proposed autonomous weeder is a prototype model that operates on a rechargeable electric battery. While going through a row, weeds are removed between two rows by flat and sharp blades (inter-row operation) on both sides. Simultaneously photos of space between two crops in one row are captured by the camera. Image processing and classification are done using Raspberry Pi, a machine learning model, and artificial intelligence. The detected weeds are removed by flat and sharp blades weeding tool attached to the mechanical linkage centrally (intra-row operation). Raspberry Pi is also used for controlling the pneumatic actuator, and motor. Testing of the machine in farms is in progress.
No takes yet. Share an insight, caveat, or question.
Jog et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: