precision agriculture

agritech software development guide a two grain silos with domed roofs

Agritech Software Development Guide: How to Build Farm Software That Works in the Field

Farm software has to work in a shed with no signal, with gloved hands, and within a growing season that allows one real test a year. This guide covers how to scope, design, integrate, secure, test and budget an agritech product in the UK: the main product families, offline-first architecture, LoRaWAN and rural 4G, ISOBUS task data and ADAPT, Sentinel-2 imagery, AI that farmers will trust, farm data ownership, and price bands with a 40-farm worked example (£79,560 build, £115,080 over three years).

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jd assistant john deere ai chatbot for farmers a solid toy tractor disc wheels

John Deere Launched an AI Chatbot for Farmers — Meet the JD Assistant

John Deere used the 2026 Farm Progress Show to launch JD, a generative AI chatbot built into the Operations Center that lets farmers ask plain-language questions of their own field, machine and operational data — comparing fuel use across seasons, ranking sprayer operators, or picking harvest timing. This article covers what the JD assistant can answer, the early access programme and rollout plans, the 520 million engaged acres and 1.2 million connected machines behind it, the Farmer Data Commitment on data ownership, and what the launch teaches any business sitting on years of unused operational data.

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