Research article


Dr. Amruta Surana, Dr. Pooja Sharma, Prof. Shailaja Pede, Chetan Sharma

Online First: April 25, 2023

The agricultural goods produced by farmers every year are not sold directly to end consumers. Instead, farmers require transporting of their agricultural goods to nearby market where brokers buy their goods and then sell to market. To transport their agricultural produce, farmers require to book transportation vehicles. The agricultural yield may change every year. Regardless of the issue faced by farmers, they still need to book a transportation vehicle even though the vehicle might not get loaded to its full load carrying capacity. This leads to the waste of resources and farmers money. In-order to address the following problem faced by farmers the proposed system plays an important role. The proposed system is an android application which uses machine learning based approach to effectively allocate vehicle to a farmer or group of farmers having common destination such that the transportation cost gets reduced without wasting any resource or causing any loss to farmer. In a farming area, the nature of a few crude harvests relies on the time factor. In the wake of collecting, it is important to bring the yields either to cold capacity or straightforwardly to client however discount sellers. Keeping crops in chilly capacity decline the sustenance esteem and furthermore increment the general expense of the harvest prompting cost climb. Thus, it will be ideal on the off chance that the harvests are placed in the market straightaway. This must be conceivable assuming that the calculated framework is refreshed and can deal with the constant necessity of farming item transport. This study examines and features the conceivable IoT-based calculated help involving man-made reasoning for the ranchers to such an extent that a quick passageway is made between ranchers' properties to end-client clients. This will help the ranchers in two-crease; first, it will build the income of ranchers by diminishing the period of time keeping away from cold capacity charges, and second, it will keep up with the nature of harvests.


Smart, logistic, management, system, agricultural, sector