Agricultural machine The agriculture sector grows and adds value. A calf bought at the market is nurtured into a milking cow that delivers liters of health and value to consumers. One simple seed, with the right care and attention, flourishes into a high-yield crop and literally puts bread on the table. Yet when it comes to data, there is a struggle across the agricultural sector to combine data and reap the rewards it has sown.gearbox
It’s important for the agricultural sector to have rich data. This data helps organizations in the agricultural chain gain a deeper understanding of every detail during the process. Growers can better understand each acre and corner of a field, producers can gain insight into the entire supply chain and retailers and manufacturers can tailor their inputs and services to generate the greatest yield.gearbox
Data has many similarities to the agricultural process. On its own, data has some value, but the richness and quality come when a range of data, inputs and technology are combined. Enriching data with additional data and tools provides real insight. Demand for this insight has now reached a point of criticality for everyone in the food production chain.
Manufacturers are moving to pay producers for outcomes—outcomes that are richer than just the weight of the carcass or kilos of wheat but also the quality. Rebate and subsidy programs are changing to reflect the new expectations placed on the rural economy and food standards.agricultural reducer