Deep learning (DL) plays an important role in modern agriculture, especially in plant
pathology using leaf images where convolutional neural networks (CNN) are attracting a lot …

Digital image processing has witnessed a significant transformation, owing to the adoption
of deep learning (DL) algorithms, which have proven to be vastly superior to conventional …

The growing demand for sustainable development brings a series of information
technologies to help agriculture production. Especially, the emergence of machine learning …

Monitoring systems based on artificial intelligence (AI) and wireless sensors are in high
demand and give exact data extraction and analysis. The main objective of this paper is to …

Primary crop losses in agriculture are due to leaf diseases, which farmers cannot identify
early. If the diseases are not detected early and correctly, then the farmer will have to …

Internet of things (IOT) is an assuring technology which provides systematic and logical
solutions towards the revolution of various realms. Various researches and analysis have …

Farm management and crop quality assessment is becoming increasingly automated to
keep up with demand. The physical examination of the plant leaves, stems and fruit can …

Due to the presence of various types of factors, such as illumination, viewpoint, intra-class
complexity, and inter-class similarity, which make plant leaf recognition still a challenging …

India is mostly a farming country. India's farmers produce massive amounts of crops every
year, and we are completely reliant on them. Crop care, on the other hand, is difficult. Many …

Plants and trees are essential for the human kind which must be preserved and well taken
care for the growth of any country. Plants require intensive care which involves monitoring of …