Application of LoRaWAN Module in Intelligent Agriculture

Application of LoRaWAN Module in Intelligent Agriculture
Application of lorawan module in Intelligent Agriculture

The low-power wide area network (LPWAN) represented by LoRa is widely used worldwide. Because it is an open communication standard, it is not only the dedicated network of the farm to the condition monitoring of agricultural machinery and agricultural production, etc. , You can use LoRa series products. The Internet of things is not only linking objects, but also linking animals in animal husbandry. In animal husbandry, pigs, cattle and sheep are relatively heavy assets. Their care is an important work of every farmer. The death of each head is a considerable loss to farmers. LoraWAN module is embedded in the monitoring equipment, which can quickly feed back the status of breeding animals. Farmers can timely deal with possible problems according to specific conditions and nip them in the cradle.

Application of LaRaWAN module in intelligent dairy farming

Application of LaRaWAN module in intelligent dairy farming

Whether the details that I usually don’t care about looks very shocking. For the cow itself, it may not be lost. The concept is grazing everywhere, but for us it is a huge loss of property.

If the LoraWAN module is installed on the cow, the location of the cow can be identified. The farmer can also use the LoraWAN module to manage the cow more effectively. If the cow is not in the specified area, he will send an alarm to the manager. The cost of this simple application is very low, but it can greatly reduce the loss of the farmer. Moreover, the cost of the LoraWAN module and the gateway are very low, and it does not cost tens of thousands of dollars to deploy to the entire farm. Then you only need to rent a server to view the collected information from the computer terminal device. In addition, you need manpower to install terminal equipment for the cows. When you finish all of this, you will find that your loss will be significantly lower than before.

In dairy farms, lora also has a more interesting application, which is to detect the estrus of cows. There are mature biological theories to prove, and after full observation, the body temperature of cows will change when they are in heat, and their pace will be significantly more dense. If the cows have no bulls after the entire estrus period, she will be very depressed, and she needs to inject estrogen into them and let her go into heat again. This alone will lead to the decline of the cow’s resistance, easy to get sick, and lower milk quality. The induction machine on the cow can detect the content of estrogen and other related hormones on the cow and judge whether the cow is in estrus. The fertilization success rate of the cow in estrus is much higher than that in non estrus. The monitoring of the cow’s estrogen can improve the success probability of spermatogenesis and the calving interval of the cow, Shortening the average calving interval from 402 days to 354 days will increase the fertilization rate of cows, the birth rate of calves and the milk yield of cows, which will significantly improve the income of dairy farms. Makes a significant increase in dairy farms. The sensor can also detect when the calf is giving birth. Traditional farmers can only judge which cow is about to give birth by observation. Remote alarms are now available. Losing cows and calves during calving will cost farmers tens of thousands of yuan.

Application of LoraWAN module in intelligent planting

Application of loraman module in intelligent planting

The growth of plants is inseparable from the growth environment provided by nature, in which light, temperature, water, air composition and nutrients can have an important impact on the growth of plants. Too much or too little of these substances is bad for the growth of plants. Different plants have different requirements for these factors. Water content has a great impact on the growth of potatoes and cotton. Tomatoes and strawberries will grow better in dry soil. The intelligent irrigation system of smart agriculture has the function of monitoring soil water and nutrients, and transmits the detected data to the background through LoraWAN module. The central processing system in the background will judge whether to water and fertilize according to the content of soil water and nutrients and the planted substances, and transmit the instructions to relevant equipment through LoraWAN, These equipment will water and fertilize according to the instructions.

Intellectualization of greenhouse planting

The soil sensor can detect and analyze the material composition in the soil, and judge the content of water and nutrients in the soil. During greenhouse planting, the sensor placed at the appropriate position of the greenhouse can judge the composition of the soil in the whole greenhouse environment. According to this information, the irrigation time and the amount of irrigation water can be determined, the amount of fertilizer added to the water can be determined, and water, fertilizer and energy can be saved. The application of the LoraWAN module and gateway has increased the yield of our wine customers’ vineyards by 20-30%, and reduced the use of chemical fertilizers and drugs. The problem with palm oil plantations is the thick tree canopy. The wireless signal of the cellular network is difficult to penetrate, but LoRa does not have this problem. LoRa has strong penetrating power. It applies pest control and uses simple traps that only allow targeted pests to enter. When the weight exceeds a certain level, the weight sensor will send a signal to tell the grower that the trap is almost full.

Benefits of smart agriculture

Benefits of smart agriculture

The big data collected by the operation of all these sensors can be further used on a global scale. Soil sensors will have the characteristics of how to respond to water. The amount of fertilizer required to maximize yield will vary with climate and crop types. , Which will depend on multiple standards. If all these data are collected, classified and used effectively, it will provide farmers with huge benefits. Taking into account the climate and soil conditions, it can be inferred from the data, which type to grow in any country Crops to obtain maximum yield.

Difficulties in the development of smart agriculture

Difficulties in the development of smart agriculture

At present, many IOT enterprises all over the world are conducting relevant research and experiments. With the development of science and technology, the application stage of LoraWAN module and other related IOT devices in agriculture will be closer and closer. A technological breakthrough is imminent. Persuading farmers and farmers to use LoraWAN module and other related Internet of things devices and accept intelligent agriculture is the key point and difficulty. The investment in the early stage of using intelligent agriculture is relatively large, and the income can be seen only in the harvest season. The cycle is long. The profit of general agricultural planting is not very high, so large-scale planting can have high income, and the cost of intelligent agriculture. To rapidly promote smart agriculture, we must first solve two problems. First, the cost should be low enough. Only when the cost and use cost of Internet of things equipment in smart agriculture are low enough and it is profitable to deploy these equipment, farmers and farmers have the power to install and use these equipment; Second, the use should be simple and clear enough. Many farmers’ knowledge level is not high. Too complex operation will make them lose the power to install intelligent devices.

Future prospects of smart agriculture

Future prospects of smart agriculture

Smart agriculture is in full swing, and great breakthroughs have been made in the research on smart cold chain and recycling of agricultural waste. Through smart cold chain transportation, the loss of food during transportation will be greatly reduced, and the utilization of agricultural waste will greatly increase the utilization rate of agricultural products. Coupled with the development of big data technology, the government and big grain traders can guide farmers to grow crops that are relatively scarce in the market according to the output and consumption of crops throughout the country and even the world, which can ensure the income of farmers and increase their enthusiasm. The government and relevant institutions can monitor the growth of relevant crops in the global model and mobilize the operation of resources, which can greatly alleviate or even solve the food crisis.

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