Direct seeding offers a cost-effective approach to reforestation, but its success depends on soil conditions at individual planting locations. This paper presents a low-cost, solar-assisted autonomous reforestation robot that evaluates soil moisture and temperature before deciding whether to plant a seed. The system uses an ESP32 microcontroller, three ultrasonic sensors for obstacle avoidance, a capacitive soil-moisture sensor, a DS18B20 temperature sensor, and a Neo-6M GPS module to record the coordinates and outcomes of tested sites. At suitable locations, a motorized drilling mechanism creates a hole, and a stepper-motor-based seed-metering unit dispenses a seed. Both planted and rejected locations are recorded to prevent repeated evaluation of previously tested sites. A solar panel supplements the rechargeable battery to support field operation. The prototype was evaluated through five full-cycle field trials. Experimental results showed a mean path deviation of 3.34 ± 0.52 cm over a 5 m traverse, a mean soil-moisture measurement error of 4.54 ± 0.96%, and an obstacle-response time of 0.83 ± 0.06 s. All three deliberately placed obstacles were detected, while single-seed dispensing achieved 90% success across ten tests. However, drilling depth varied from 2.8 to 5.1 cm, indicating the need for improved depth control. With an approximate prototype cost of ₹5,300, the proposed system demonstrates the feasibility of integrating soil-condition-based site selection, autonomous drilling, direct seeding, and GPS-based site logging into an affordable reforestation platform. Further work will focus on closed-loop drilling-depth control, expanded field trials, and germination and seedling-survival evaluation.