Fleet Management for Agriculture

The defining constraint in agricultural logistics is that the peak fleet and the baseline fleet are different sizes by a large multiple.

Fitting hardware to vehicles used for one season is difficult to justify, and removing and refitting it annually is worse.

Consent-based SIM tracking fits this shape: approximate position on a hired vehicle for the weeks it is engaged, with no device and nothing to remove afterwards. Owned vehicles that run year-round justify fitted tracking.

A harvester or tractor is used by engine hours, and where it is hired, billed by them.

An independent running-hour record is what makes a hire invoice checkable, and it is usually the fastest payback in the sector because peak-season hire rates are high.

Idle share matters for the same reason as in construction: a machine powered but not working is burning fuel and hire hours for nothing.

Harvested produce begins losing value immediately, and the time from field to storage or mandi is the quality variable.

Measuring that elapsed time per load rather than per day is what identifies where the delay sits, which is usually waiting at a collection or weighing point rather than in transit.

For produce requiring cold storage the same temperature principles apply as in cold chain, with the additional difficulty of rural power reliability.

Farm and mandi routes run through the weakest cellular coverage in the country, and the peak season is when it is most congested.

A device that buffers positions through gaps and uploads on reconnection preserves the trip record. One that does not produces a route with holes in exactly the areas being served.

This is worth testing before a season rather than discovering during one.