Software and Gerber files for a simple soil moisture sensor using the ESP32 and a bistable status indicator.

This project predicts land degradation using synthetic environmental indicators like NDVI, soil moisture, and productivity changes. A machine learning model identifies degraded areas, supporting Land Degradation Neutrality and sustainable land management.

This Arduino program is designed to monitor soil moisture levels and control a servo motor acting as a valve to water plants. It uses an LCD for displaying information and LEDs for visual indicators

This repository contains an open-access dataset collected from a controlled greenhouse environment at the University of Ngaoundéré, Cameroon. The dataset includes measurements of: Temperature (°C) Ambient Humidity (%) Soil Moisture (%) Received Signal Strength Indicator (RSSI)

Script for building and testing BGC specific rSMR actual soil moisture regimes from Climate data and vegetation indicators

An Arduino-based smart plant monitoring and watering system using RemoteXY. It monitors soil moisture, water level, temperature, humidity, light, and motion, and automatically controls watering, alerts, servo indicators, LCD display, and voice notifications via DFPlayer.

The purpose off this project is o investigate the potential of using passive microwave brightness temperature and emissivity data sets from satellite observationsto monitor recent land cover/land use changes and droughts. Temperature and emissivity data at differentvarious frequencies will be formulated to calculate global land surface emissivityfor the last three dacades.The estimates are then compared against the independent drought indicators which are based on percipitation and soil moisture data records.

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ESP32 soil moisture monitoring system with LCD and LED indicators

Arduino-based smart agriculture system using soil moisture and raindrop sensors to detect soil conditions, rainfall, and activate indicators such as LEDs or motors.

Python Tkinter simulation of an automated watering system for Martian plants. Visual soil moisture indicator changes color based on pump status.

Sample files from Jad Haddad's SoilSense including: embedded C code for Arduino Uno R3 with capacitive soil moisture sensing, water level monitoring, N-MOSFET pump control, and status indicators

The GRACE Groundwater and Soil Moisture dashboard is a tool designed to visualize the global time average map of groundwater and moisture annually from 2004 to 2022 (available data for entire years). The indicators presented are based on observations derived from GRACE-FO satellite data and integrated with other observations.

This project aims to help people and farmers to irrigate their plants in a modern and organized manner that helps reduce water consumption and increase plant productivity This project is a mobile application linked to the irrigation network on the farm or garden so that the user can know the water temperature and the soil moisture ratio. Based on these indicators he sends an order to open or close the water.

The project describes the smart irrigation system using the concept of IoT. The project uses a Wi-Fi module (ESP8266-12E) which connects the system to internet. This module controls a motor for supplying water to the field on the information obtained from a water level indicator and a soil moisture sensor. This whole system is monitored and controlled by MQTT server (My MQTT android App) through internet. A temperature sensor is also used to remotely monitor the temperature of the field. The project also depicts the concept of Internet of Things (IoT). A GSM module 900A is also used as an alternative to provide information about the water-level and temperature to the farmer via short messaging system(SMS). The project also deals with monitoring the plant health using Image Processing. The images of the leaves will be captured and processed in python language using convolutional neural networks. Keras API with tensorflow backend is used for training and implementing the model .The health will be monitored on the basis and the farmer will be kept updated on the same My MQTT App.

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A low-cost, energy-efficient soil moisture detection system that provides a clear visual indication of soil conditions

An Arduino-based IoT project that monitors soil moisture levels using an analog sensor and displays real-time percentage values on the Serial Monitor. Useful for smart farming, gardening, and automated irrigation systems.

Comparator-based soil moisture detection circuit using LM358 Op-Amp, 7805 regulator, and LED alerts.

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A soil moisture indicator powered by Arduino for free use by anyone

Arduino-based soil moisture monitoring system with LCD display, LED indicators, and buzzer alert for dry soil conditions.

🌱 Arduino-based soil moisture sensor calibration & irrigation scheduling system with LED indicators | CE738A Project

This project implements a Soil Temperature and Moisture Monitoring System using an Arduino Uno. The system utilizes an analog temperature sensor to measure soil temperature and a soil moisture sensor to assess moisture levels. The gathered data is used to activate visual indicators based on predefined temperature thresholds.

Codebase of the analysis part of the master thesis 'Evaluating Soil Moisture Index and Plant Available Water as Indicators of Drought in Germany'

A collection of beginner-level Arduino simulations created using Tinkercad Circuits. Includes projects using sensors like gas, temperature, soil moisture, and buzzer indicators.

Measure soil moisture of a plant, display the value in Domoticz Home Automation System, in a TinkerForge Segment Display 4x7 and TinkerForge RGB LED indicator.

Built an autonomous IoT-based agricultural robot for soil monitoring and irrigation control. Implemented soil moisture-based actuation logic to optimize water usage automatically. Integrated crop health indicators for early disease detection and treatment suggestions.

This project is a Weather Station built using the STM32 microcontroller that monitors: 🌡️ Temperature (DHT11 sensor) 🌱 Soil moisture (analog sensor) 💡 Alerts (LED indicator)