Pests and diseases have been major threats in agricultural productivity since early ages. It causes significant crop damage. One of the critical challenges in agriculture is the effective detection of pests and disease. Traditionally huge amounts of harmful chemicals are used. This research can bring revolutionary impact on pest detection and disease management. The system collects real time data from fields utilizing an ESP32 microcontroller which includes Wi-Fi functionality which will enable seamless sensor data processing and connectivity and where Wi-Fi is unavailable SIM900 GSM module is used to connect through cellular data. A BME280 (temperature, humidity), BH1750 (light-intensity), MQ-135 (air-quality) and Capacitive Soil Moisture Sensor. GPS (Neo-6M) is used for precise location. 18650 Li-ion batteries are the primary source of power and to recharge solar panels are used. Arduino cloud receive and analyze the collected data and compare with standard value range to identify patterns, predict pest infestation and detect disease at an early stage. IoT platform dashboard and SMS will send notifications to the farmer about any abnormalities. 90% accuracy is achieved in field testing. This system achieved the key goals of Agriculture 4.0 by promoting sustainable eco-friendly practice, reducing use of chemicals and preserving biodiversity.