Machine Learning for Detection and Prediction of Crop Diseases ...

Therefore, it is very important to develop efficient methods for the automatic detection, identification, and prediction of pests and diseases in agricultural ...

Crop Disease Prediction using Machine Learning and Deep Learning

Abstract: Crop diseases are caused by pests, insects, and pathogens, and if not promptly handled, they significantly reduce the yield.

Deep learning-based crop disease prediction with web application

Machine learning solves challenging issues in agriculture, like extracting features, transformation, pattern recognition, and image classifications [7,8]. To ...

Revolutionizing agriculture with artificial intelligence: plant disease ...

Machine learning (ML) and deep understanding (DL) detection models are discussed. A comprehensive examination of various existing ML and DL- ...

A deep learning model for predicting risks of crop pests and ...

Crop pests reduce productivity, so managing ... Early diagnosis and prediction ... Maize leaf disease detection and classification using machine ...

Construction of deep learning-based disease detection model in ...

In current study, a deep learning model was developed to detect multiple crop diseases. The disease detection model is composed of three steps ...

Image‐based crop disease detection using machine learning

Image-based crop disease detection using machine learning provides a faster, more accurate alternative to traditional methods, ...

Crop yield prediction using machine learning: A systematic literature ...

Machine learning is an important decision support tool for crop yield prediction, including supporting decisions on what crops to grow and what to do during ...

An advanced deep learning models-based plant disease detection

Within the context of conventional plant lesion and pest detection, DBMs have been used to predict labels for images of various plant affected regions by ...

Revolutionizing crop disease detection with computational deep ...

Machine learning-based crop disease detection and classification techniques have gained significant attention in agriculture for early and ...

Image-based crop disease detection with federated learning - Nature

Modern technologies, such as data mining and machine learning algorithms, have been used to develop automated crop disease detection systems.

Crop prediction and Plant Disease Detection using IoT and Machine ...

Crop prediction and Plant Disease Detection using IoT and Machine learning ... Abstract: Agriculture is one of the major occupations widely used in India and it ...

Machine Learning Models for Plant Disease Prediction and Detection

Disease prediction is the accurate determination of the disease state of plant leaves. Accurate disease prediction is one of the key requirements in data ...

Plant Disease Detection Using Image Processing and Machine ...

The proposed solution for plant disease detection is computationally less expensive and requires less time for prediction than. Page 2. other deep learning ...

Plant diseases and pests detection based on deep learning: a review

Plant diseases and pests identification can be carried out by means of digital image processing. In recent years, deep learning has made ...

An advanced deep learning models-based plant disease detection

Studies have shown that CNNs can achieve high accuracy rates in the range of 99-99.2% in classifying images of plant leaves affected by diseases and pests. 3.2.

Deep learning approaches for yield prediction and crop disease ...

Deep learning approaches for yield prediction and crop disease recognition by. Luning Bi. A dissertation submitted to the graduate faculty in partial ...

Survey on crop pest detection using deep learning and machine ...

CNN to extract the features of the rice leaf disease photos was utilized. The SVM method was used to classify and predict the disease. The ...

Plant Disease Prediction using Machine Learning Algorithms

The proposed research work is for analysis of various machine algorithms applying on plant disease prediction. A plant shows some visible effects of disease, as ...

Deep Learning-Based Leaf Disease Detection in Crops Using ...

Early diagnosis of plant diseases using accurate or automatic detection techniques can enhance the quality of food production and minimize economic losses. In ...