A UAV-aided prediction system of soil moisture content relying on thermal infrared remote sensing

Water has an important role for crops. Every crop needs water to survive. The amount of water that crops need, in different regions and seasons, is different. To calculate the amount of water needed by the crop precisely require careful analysis of the available supporting data. In practice, the fulfilment of water needs in crops is only based on soil moisture without being adjusted to weather data. Thus, water is often wasted, for example when watering during high rainfall. Therefore, we need a system that can determine the volume of water requirements in crops based on its conditions, watering schedules, and weather data. This research aims to build a monitoring system for crops that can determine the right watering volume by considering soil moisture, air temperature and humidity, watering schedules, and weather data by utilizing the fuzzy method. Based on the results of our experiments, the system has managed to monitor crops and display watering volume notifications when its conditions are not normal and when to do watering based on the weather.

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Internet of Things Based Intelligent Water Management System for Plants

The invention discloses an orchard management and control system and method based on unmanned aerial vehicle communication. A remote ZigBee-GPRS (general packet radio service) gateway carried on an unmanned aerial vehicle is combined with a wireless sensor network node, orchard environment data are collected and transmitted among WSN (wireless sensor network), GPRS and Internet to realize remote orchard environment real-time detection, and an orchard farm is irrigated according to a detection result, so that orchard labor input is reduced effectively, and irrigation efficiency of the orchard farm is improved.

Orchard management and control system and method based on unmanned aerial vehicle communication

The orchard irrigation is susceptible significantly to various environmental factor but the approach to predict water demand of irrigation remains an outstanding challenge up to now. In this paper, a prediction model of irrigation based on GA-BP neural network has been proposed in orchards, which selects three environmental factors including air temperature, soil moisture content and light intensity as the input of back. propagation neural network. In order to overcome BP’s disadvantage of being easily stuck in a local minimum, genetic algorithm is used to optimize the weight and threshold of neural network. The results showed that the GA-BP neural network model can express the nonlinear relationship between the water demand of litchi and the main environmental factors more accurately. The mean absolute percentage error (MAPE) is only 0.0283, and the correlation coefficient of the target and output value is 0.9799. Hence, the model can provide a theoretical basis for the further development of the intelligent irrigation decision system of litchi orchards.

Irrigation Prediction Model with BP Neural Network Improved by Genetic Algorithm in Orchards

The utility model discloses an unmanned aerial vehicle gateway device for mountain region citrus orchard environmental information acquire, including processor module, power module, 2.4GHz wireless control module, barometer module, motion sensor module, zigBee module and GPRS module. This device mainly adopts STM32F407VGT6 to constitute core processor module, and power module provides 5V and 3.3Vpower respectively. The wireless control module is passed through the SPI bus and is connected with core processor foundation. The barometer module adopts the MS5611 core to realize that unmanned aerial vehicle decides high flight. The motion sensor module realizes 3 gyroscopes and 3 accelerometer. Wireless connection is establish with the citrus orchard node to the zigBee module. This device canreduce citrus orchard information sampling node network deployment complexity, improves network stability, and to reduce the data transmits the packet loss ratio, reduces the whole consumption of node, improves extensive orchard environmental information and acquires efficiency, is worth promoting.

A unmanned aerial vehicle gateway device for mountain region citrus orchard environmental information acquire

The invention discloses an unmanned aerial vehicle based mountain-land citrus orchard irrigation control system and method. The system comprises a plurality of irrigation nodes and an unmanned aerialvehicle in wireless connection with the irrigation nodes. Each irrigation node comprises a first core processor, a soil temperature and humidity sensor module, a bistable electromagnetic valve module,a GPS module and a first wireless communication module, wherein the soil temperature and humidity sensor module, the bistable electromagnetic valve module, the GPS module and the first wireless communication module are in electrical connection with the first core processor. The unmanned aerial vehicle comprises a second core processor, a nine-axle motion sensor module, a brushless motor electronic speed regulator module, a barometer module, a GPS electronic compass integrated module, a second wireless communication module and a wireless control module, wherein the nine-axle motion sensor module, the brushless motor electronic speed regulator module, the barometer module, the GPS electronic compass integrated module, the second wireless communication module and the wireless control moduleare in electrical connection with the second core processor, and the first wireless communication module and the second wireless communication module are in wireless connection. The unmanned aerial vehicle based mountain-land citrus orchard irrigation control system and the method have advantages that by application of the unmanned aerial vehicle technique to mountain-land citrus orchards, labor input in citrus planting can be effectively reduced, and mountain-land citrus irrigation efficiency is improved.

Xue Xiuyun

Papers

Irrigation Prediction Model with BP Neural Network Improved by Genetic Algorithm in Orchards

A unmanned aerial vehicle gateway device for mountain region citrus orchard environmental information acquire

Unmanned aerial vehicle based mountain-land citrus orchard irrigation control system and method