In India, the field of agriculture is the foundation of India. To make the farming manageable, this framework is proposed. In this framework. Various types of sensors are utilized. This paper presents a completely computerized drip water system framework which is controlled by checking the soil moisture and the requirements of the plants. Another major problem is the pest causing disease detection. The Agrifinancial misfortune is fundamentally due to creepy pests and few animals. Subsequently, pesticides are broadly utilized by ranchers to control weeds, creepy pests and plant sicknesses without properly knowing about the disease. Abundance use of pesticides isn't just an unfriendly for the climate yet additionally for human and economy of the nature. In this paper, we proposed plant leaf disease detection, which gives disease name and recommends a pesticide suitable for the particular disease through the approach image processing and Convolutional Neural Network. We proposed another bug control framework What’s more, picture handling advancements to control bothers, in this way diminishing the utilization of pesticides. The proposed framework utilizes infrared sensor (IR) to identify the presence of bug by the warmth transmitted by their body. Image-processing is utilized to catch pictures of the bugs to affirm their presence in the field. After affirming the presence of creepy pests by image-processing and PIR sensor, the ultrasonic generator is utilized to create ultrasonic waves which are terrible to bugs and mites, drive them away from the rural field. The proposed framework helps the ranchers to improve the rural creation and the board in an economic and safe way.