Results 131 to 140 of about 10,357,758 (230)

Seed Sprout Extracts for Control of Rice Tungro Disease (RTD)

, 1992
This article 'Seed Sprout Extracts for Control of Rice Tungro Disease (RTD)' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice ...
Narayanasamy, P., Viswanathan, R.
openaire   +2 more sources

Rice disease classification using feed-forward neural network: Comparative analysis between hybrid and single feature extraction algorithms

Franklin Open
Rice diseases significantly reduce crop productivity and pose a serious threat to global food security. Early and accurate identification of rice leaf diseases is therefore essential to enable timely intervention and effective disease management.
Farida Siddiqi Prity, Mirza Raquib, Abdullah Al Shiam, Md. Maruf Hossain, K.M. Aslam Uddin   +4 more
doaj   +1 more source

Towards Reduced Pesticide Use for Cereal Crops in Asia [PDF]

Several opportunities are available for dramatically reducing the use of agrochemicals in Asian cereal crop production. The first section of this paper summarizes past trends and future prospects for pesticide use in Asia for the three major cereal crops:
Gerpacio, Roberta V., Pingali, Prabhu L.
core   +1 more source

Kemampuan Hidup Koloni-koloni Wereng Hijau Nephotettix Virescens (Distant) Pada Beberapa Golongan Ketahanan Varietas Padi*[survival Rates of Green Leafhopper Nephotettix Virescens (Distant) Colonies in Several Resistant Rice Varieties] [PDF]

, 1999
The experiment was carried out in the Laboratory of Rice Research Institute Bogor, on October 1996 to February 1997. The aim of the experiment was to study the survival rate and nymphal stages of these cobnies on a set group of rice varieties with ...
Amir, M. (M), Muhadjir, M. (MM), Siwi, S. (SS), Trisnaningsih, T. (Trisnaningsih)   +3 more
core  

The relative importance of crop pests in South Asia (NRI Bulletin No. 39) [PDF]

, 1991
This is the second in a series of regional studies of crop pest importance carried out by the Natural Resources Institute (NRI). The aim of this study was to assess the relative economic importance of crop pests in the cropping systems of South Asia ...
Geddes, A.M.W., Iles, Malcolm
core  

Effective Edge Solution for Early Detection of Rice Disease on ARM- M Microcontroller

IEEE Access
The increasing need for efficient and sustainable agriculture has driven the adoption of advanced technologies like Artificial Intelligence (AI) in crop management. This study evaluates the feasibility of deploying AI models on ARM-M microcontrollers for
Chew Jing Xan, Hermawan Nugroho, Sivaraman Eswaran, Tay Fei Siang   +3 more
doaj   +1 more source

Early Detection of Plant Disease on Rice (Oryza Sativa) using Convolutional Neural Network (CNN)

Chemical Engineering Transactions
Plants provide and possess many elements that help humans and the whole ecosystem strive and function properly. Plant disease affects food production, the economy, and the health and safety of plants and humans who consume the plants.
Kristine Joyce P Ortiz, Jozhua Kylle R Coritana, Angeline Milaine B Marfil, Princess Czarina A Marilag   +3 more
doaj  

Enhancing green AI through explainable deep learning-based multi-model for automated rice leaf disease classification

Discover Computing
Timely and precise identification of rice leaf ailments is crucial for maintaining the well-being of the crop and achieving optimal output. This study assesses advanced machine learning structures for the automatic recognition of rice leaf diseases by ...
Ruaa A. Al-Falluji, Marwan Ali Albahar
doaj   +1 more source

Potensi Pemanfaatan Perangkat Diagnostik ELISA Serta Variannya Untuk Deteksi Patogen Tanaman [PDF]

, 2009
Diseases aremajor constrains to agricultural crop productions in Indonesia.In the current free world trade system, the chances ofintroduction of plant quarantine agents are higher, and aredifficult to control, due to importation of seeds and ...
Machmud, M. (muhammad), Manzila, I. (Ifa), Suryadi, Y. (Yadi)   +2 more
core  

RDRM-YOLO: A High-Accuracy and Lightweight Rice Disease Detection Model for Complex Field Environments Based on Improved YOLOv5

Agriculture
Rice leaf diseases critically threaten global rice production by reducing crop yield and quality. Efficient disease detection in complex field environments remains a persistent challenge for sustainable agriculture.
Pan Li, Jitao Zhou, Huihui Sun, Jian Zeng   +3 more
doaj   +1 more source