51 results for “Crop Disease”

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Review ArticleOpen accessIn the abstractComparative Analysis of Classical Feature Detection Methods for UAV-Based Tomato DetectionMuhammad Sarwar Jahan Morshed, Md. Nasim Adnan, Md. Rafiqul IslamRemote sensing technologies, especially Unmanned Aerial Vehicles (UAVs), become crucial for Precision Agriculture (PA) to perform different tasks such as crop detection, yield prediction, leaf disease diagnosis, weed detection, and harvest forecasting to ensure higher productivity. Therefore, using various image analytics methods feature detection from the UAV-captured images plays a vital role for conducting these PA tasks. To enhance the … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,404 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEffects of Root Rot in Soybean Cultivars with Diverse Susceptibility to the Disease on Plant Physiology, Yield, Amino Acids and Mycotoxins Profile in Climatic Conditions of KazakhstanNurlan Kuldybayev, Yerlan Dutbayev, Bozena Lozowicka et al.Soybean is an important high-value crop but susceptible to soil-borne diseases. A field trial was conducted in Kazakhstan to evaluate the effects of soybean cultivars and Fusarium root rot severity on soybean crop physiology, chlorophyll fractions and amino acids profile. The highest yield was achieved in 2018 (up to 4 t ha-1) for K-9648 cultivar. The greatest root rot severity … …OnLine Journal of Biological Sciences, Vol. 21, Issue 4 · 27 Dec 2021 · 6,299 accessesView PDF Cite

Review ArticleOpen accessIn the abstractSmart Agriculture: The Future of Agriculture using AI and IoTSapna Katiyar, Artika FarhanaAgriculture sector contributing a significant share in World economy and in more than nine counties agronomy is the leading segment. Population is rising immensely therefore quality and quantity of food demand increases enormously. Agriculture segment is providing employment prospects to large population as well. Conventional farming styles used by farmers are not competent to fulfil the enlarged demand. To meet … …Journal of Computer Science, Vol. 17, Issue 10 · 8 Nov 2021 · 10,401 accessesView PDF Cite

Research ArticleOpen accessIn the abstractBionic Technology and Deep Learning in Agricultural Engineering: Current Status and Future ProspectsChunlei Tu, Jinxia Li, Xingsong Wang et al.As one of the most important production activity of mankind, agriculture plays an important role in social development. With the development of science and technology, agricultural technology has constantly been explored and researched. By learning and imitating the characteristics of creatures in nature, bionic technology has been applied to the improvement of agricultural machinery and farm implements. In recent years, … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 2 · 24 May 2021 · 6,989 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDevelopment of Environmentally Friendly Protection Measures Against Pests and DiseasesN. S. Mukhamadiyev, A. M. Chadinova, N. Sultanova et al.The paper describes the monitoring of phytosanitary conditions in different regions of the Almaty region (Kazakhstan) and demonstrates the large population of cruciferous fleas (Phyllotreta cruciferae) on rapeseed plants, which reaches 7-9 spec./m2, exceeding the economic injury level (3-5 spec./m2). The disease is observed to spread on wheat and barley seeds. Proceeding from this, the study aims to develop effective … …OnLine Journal of Biological Sciences, Vol. 23, Issue 2 · 27 Apr 2023 · 5,241 accessesView PDF Cite

Research ArticleOpen accessIn the abstractExperimental Evaluation of Coffee Leaf Disease Classification and Recognition Based on Machine Learning and Deep Learning AlgorithmsKacoutchy Jean Ayikpa et al.Coffee plant diseases constitute a significant danger to world coffee production, and the greatest challenge is to detect these diseases as early as possible to save the crop. Traditional methods are most often based on visual observations, often with errors in diagnosing diseases. Machine Learning has become a tool that presents itself as an alternative for automatically identifying plant diseases. … …Journal of Computer Science, Vol. 18, Issue 12 · 10 Dec 2022 · 6,986 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDetection of Rust Emergence in Coffee Plantations using Data Mining: A Systematic ReviewLenin Quiñones Huatangari, Candy Lisbeth Ocaña Zúñiga, Annick Estefany Huaccha Castillo et al.Hemileia vastatrix is a fungus that causes coffee rust disease and, depending on the level of severity, reduces the photosynthetic capacity of the plant and of new shoots, leading to low coffee yields and even death; its symptoms are visible on the leaf. Systems based on computer algorithms have been developed to predict diseases and pests in coffee. The objective … …OnLine Journal of Biological Sciences, Vol. 22, Issue 2 · 31 Mar 2022 · 8,022 accessesView PDF Cite

Review ArticleOpen accessIn the abstractAdvances in Modern Biotechnological Tools for Sustainable Control of Plant Viral DiseasesNabela Akter, Ankita Saha, Md. Abdullah Al Sabbir, Md. Motaher HossainPlant viruses pose a major threat to global food production, causing yield losses across many staple and horticultural crops. Conventional breeding for resistance is typically slow and constrained by the number of available natural resistance genes. Recent breakthroughs in biotechnology have enabled the development of accurate, flexible, and environmentally friendly technologies to confer virus resistance. This review summarizes exciting developments … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 16 Jul 2026 · 726 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIn Silico Prediction and Functional Characterization of Genes Related to Abiotic and Biotic Stresses in Chickpea (Cicer arietinum)Sukhdeep Kaur, Satendra Singh, Gitanjali Tandon et al.Chickpea (Cicer arietinum L.) is second largest grown legumes worldwide contributing 75% of total pulse production. It is a cool season legume crop and grown in tropical and subtropical areas. Due to drastic climatic changes, chickpea suffers from many biotic (blight and wilt) and abiotic (salinity, drought, cold) stresses that directly impact the growth and yield. In our study, we … …Current Research in Bioinformatics, Vol. 7, Issue 1 · 25 Sep 2017 · 14,188 accessesView PDF Cite

EditorialOpen accessIn the abstractThe Timeless Contribution of Rootstocks towards Successful Horticultural Farming: From Ancient Times to the Climate Change EraIoannis E. PapadakisGrafting is a horticultural practice by which living vegetative plant organs (root, stem and/or buds) of either the same genotype or, usually, different genotypes belonging to the same species, genus, subfamily and/or family, are tightly connected to each other to form a double-compound plant. In fact, it is a method of asexual (clonal-vegetative) propagation of plants. The basal part of … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 4 · 16 Dec 2016 · 9,521 accessesView PDF Cite