Abhishek Dhekane - Academia.edu (original) (raw)
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Agriculture is one of the major parts of a country's economy. But recently, weather chang... more Agriculture is one of the major parts of a country's economy. But recently, weather change has affected crop growth adversely and farmers are suffering. In such a situation, it is necessary for us to get smarter and be able to use the resources we have intelligently. We propose a method of farming wherein a farmer's job is reduced immensely and resources are used adequately. We aim to develop an IoT based project which will automatically do the work of irrigation on the basis of an FC-28 soil moisture sensor. We will be using machine learning to predict the possibility of a crop getting affected by a disease. This system will also provide suggestions to the farmer on how to prevent these diseases and if at all the crop gets infected, what all can he do to solve this issue. Farmer will also be notified regarding the health of the soil, on the basis of which required fertilizers can be suggested. All the sensor data can be extracted using Raspberry Pi. The farmer can get all the measured data (soil humidity, temperature, pH etc.) on the android application. This app also provides him with the ability to control the irrigation. The main target of this system is to provide farmers with a system which can help him grow a high yield of healthy crops with adequate use of resources.
Agriculture is one of the major parts of a country's economy.[7] But recently, weather change... more Agriculture is one of the major parts of a country's economy.[7] But recently, weather change has affected crop growth adversely and farmers are suffering. In such a situation, it is necessary for us to get smarter and be able to use the resources we have intelligently. We propose a method of farming wherein a farmer’s job is reduced immensely and resources are used adequately. We aim to develop an IoT based project which will automatically do the work of irrigation on the basis of an FC-28 soil moisture sensor.[2] We will be using machine learning to detect if a crop is getting affected by a disease and what disease it is.[3][6] This system will also provide suggestions to the farmer on how to prevent these diseases and if at all the crop gets infected, what all can he do to solve this issue. Farmer will also be notified regarding the health of the soil, on the basis of which required fertilizers can be suggested. All the sensor data can be extracted using Raspberry Pi. The far...
Agriculture is one of the major parts of a country's economy. But recently, weather chang... more Agriculture is one of the major parts of a country's economy. But recently, weather change has affected crop growth adversely and farmers are suffering. In such a situation, it is necessary for us to get smarter and be able to use the resources we have intelligently. We propose a method of farming wherein a farmer's job is reduced immensely and resources are used adequately. We aim to develop an IoT based project which will automatically do the work of irrigation on the basis of an FC-28 soil moisture sensor. We will be using machine learning to predict the possibility of a crop getting affected by a disease. This system will also provide suggestions to the farmer on how to prevent these diseases and if at all the crop gets infected, what all can he do to solve this issue. Farmer will also be notified regarding the health of the soil, on the basis of which required fertilizers can be suggested. All the sensor data can be extracted using Raspberry Pi. The farmer can get all the measured data (soil humidity, temperature, pH etc.) on the android application. This app also provides him with the ability to control the irrigation. The main target of this system is to provide farmers with a system which can help him grow a high yield of healthy crops with adequate use of resources.
Agriculture is one of the major parts of a country's economy.[7] But recently, weather change... more Agriculture is one of the major parts of a country's economy.[7] But recently, weather change has affected crop growth adversely and farmers are suffering. In such a situation, it is necessary for us to get smarter and be able to use the resources we have intelligently. We propose a method of farming wherein a farmer’s job is reduced immensely and resources are used adequately. We aim to develop an IoT based project which will automatically do the work of irrigation on the basis of an FC-28 soil moisture sensor.[2] We will be using machine learning to detect if a crop is getting affected by a disease and what disease it is.[3][6] This system will also provide suggestions to the farmer on how to prevent these diseases and if at all the crop gets infected, what all can he do to solve this issue. Farmer will also be notified regarding the health of the soil, on the basis of which required fertilizers can be suggested. All the sensor data can be extracted using Raspberry Pi. The far...