Smart farming:Leveraging IoT and deep learning for sustainable tomato cultivation and pest management  

作　　者：Md Rakibul Hasan Md.Mahbubur Rahman Fahim Shahriar Md.Saikat Islam Khan Khandaker Mohammad Mohi Uddin Md.Mosaddik Hasan 

机构地区：[1]Department of Computer Science and Engineering,Mawlana Bhashani Science and Technology University(MBSTU),Tangail,Bangladesh [2]Department of Computer Science and Engineering,Bangladesh University of Business and Technology(BUBT),Dhaka,Bangladesh [3]Department of Computer Science and Engineering,Southeast University,Dhaka,Bangladesh

出　　处：《Crop Design》2024年第4期45-56,共12页作物设计（英文）

摘　　要：Since the world's population is rising continuously,more cultivable land is being utilized for their dwellings.As a result,proper plan and technological breakthroughs shall be necessary to solve the food shortage.Tomato is a kind of vegetable which has the healthy ingredients and essential for our daily food supply.The proposed system suggests an IoT based tomato cultivation and pest management system,with the help of learning methods.In the IoT implementation,camera module and moisture sensor are used to collect images of tomato plant and soil condition,respectively.Based on the moisture content,the water pump will supply the water necessary for crop growth.Besides,the real-time images of tomato leaves will be sent to the server to identify and classify natural enemies like various insect species.In the proposed system seven types of pests are identified with the help of 10 learning models like InceptionV3,Xception,InceptionResNetV2,MobileNet,MobileNetV2,MobileNetV3Large,MobileNetV3Small,DenseNet121,DenseNet169,DenseNet201.This study has trained with leaves and insects separately to identify whether or not an image from a tomato plant is insectoid 458 images of pests and 912 images of leaves are utilized in the proposed architecture.The accuracy of classifying insects or leaves using DenseNet201 is 100%.The highest accuracy of 94%is obtained to classify the different insects using the DenseNet201 model.

关 键 词：Tomato's’pest classification Tomato's’plant monitoring Deep learning in Insect's identification IoT in smart farming 

分 类 号：S641.2[农业科学—蔬菜学]