Description: The embodiments herein will be better understood from the following detailed description with reference to the drawings, in which:
FIG. 1 illustrates a system for charging capacity planner for agriculture machinery and the method thereof according to some embodiments herein;
FIG. 2 illustrates an exemplary diagram of a cloud of FIG. 1 according to some embodiments herein;
FIG. 3 illustrates a flow diagram of a method of a system for charging capacity planner for agriculture machinery and the method thereof according to some embodiments herein;
, Claims:I/We Claim:

1. A system for charging capacity planner for agriculture machinery and the method thereof (100), wherein the system (100) comprises:
a mobile phone (101) that is integrated with a mobile application;
a cloud (103) that stores the data; and
a battery testing unit (105);
characterized in that,
the cloud (103) comprises a condition planning algorithm module (210) that is configured to generate values of the required parameters.

2. The system (100) as claimed in claim 1, wherein the mobile phone is integrated with a mobile application to feed the data by the user (102).
3. The system (100) as claimed in claim 1, wherein the cloud (103) further comprises an information receiving module (204), a weather data receiving module (206), a battery condition receiving module (208)
4. The cloud (103) as claimed in claim 1, wherein the condition planning algorithm module (210) further comprises parameters’ value predicting module (212) and required parameters generating module (214).
5. The system (100) as claimed in claim 1, wherein the battery testing unit (105) measures a state of charge (SOC) and a voltage of the battery.
6. A method of charging capacity planner for agriculture machinery (100), wherein the method comprises:
receiving, using information receiving module 204, an information;
receiving, using a weather data receiving module 206, weather data;
receiving, using a battery condition receiving module 208, a battery condition;
processing, using a condition planning algorithm module 210;
information,weather data and battery condition;
calculating, using a parameters’ value predicting module 212, parameters’ value; and
generating, a required parameter generating module 214, parameters’ value.