Description:ADAPTABLE AGRICULTURAL FIELD PLOUGHING SYSTEM
FIELD OF THE DISCLOSURE
[0001] This invention generally relates to agricultural machinery, and more specifically to an adaptable agricultural field ploughing system. The system is designed to automate a process of ploughing agricultural fields, enhancing efficiency and precision in soil preparation.

BACKGROUND
[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Conventional agricultural ploughing machines often rely on manual adjustments or preset configurations to navigate and p , Claims:We Claim:
1. An adaptable agricultural field ploughing system (100) comprising:
a frame (102) having a first portion (104), second portion (106), and third portion (108), wherein the first portion (104) comprises:
a unidirectional wheel (110) configured to provide movement to the frame (102) over an agricultural field, and
a tine ripper,
wherein the second portion (106) comprises:
a motor drive assembly operationally coupled with the unidirectional wheel (110) and configured to power the unidirectional wheel (110),
wherein the third portion (108) comprises:
a handle (112) configured to enable a user to change direction of the frame (102) during movement;
one or more imaging sensors (200) configured to capture one or more images of the agricultural field;
a processor (202) communicatively coupled with the one or more imaging sensors (200), wherein the processor (202) is configured to:
receive the one or more images of the agricultural field,
analyse the one or more images using at least one AI/ML model,
eval