Agri-Tech

An export MD2 pineapple growing area is not judged by the total output of the whole area, but by the questions that processing plants and importing countries ask of each shipment: which plot did this fruit come from, what planting material was used, what was sprayed, on what date was it harvested. Answering those questions requires data at the level of each field plot, not at farm level. Key points Moving from farm-level data to plot-level data changes four things: planning, cost tracking, pest management and harvesting. Under Resolution 36/2026/NQ-CP, growing-area codes are linked to land-parcel identification codes, and the data is connected to the Agricultural Product Traceability System of the Ministry of Agriculture and Environment. Decree 38/2026/ND-CP requires growing…

Drones, sensors, satellite imagery and farm management software are often presented to MD2 pineapple growing areas as the answer to yield and cost. Scientific research on pineapple gives a more cautious picture: the technology can already measure many things with high accuracy, but no study has yet measured how much money it saves in a pineapple field. In Vietnam, drone use has been subject to a new legal framework since 2025–2026. This article separates clearly what has been proven, what has not, and the legal conditions. Key points Drones count inflorescences after flower induction with an error of about 6.4% in commercial fields, and detect ripe fruit to give a yield warning 2–3 months ahead. Drone spraying in pineapple fields…