190 articles for “Growth and Yield”

Research ArticleOpen accessIn the abstractEffects of Fertilization Frequency and Amount on the Chemometric Characteristics, Physiology, and Yield of Tomato Under Substrate CultivationEnling Ji, Qianqian Di, Qingjie Du et al.This study examined the effects of fertilization frequency and quantity on growth, yield, and quality of tomatoes under substrate cultivation. A factorial experiment evaluated two fertilization frequencies (every 5 or 10 days) and three fertilization levels (15.69, 31.38, or 62.76 kg·ha⁻¹), along with an unfertilized control. Plants were assessed for growth and development, photosynthetic pigment content, gas exchange parameters, nutrient … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 16 Feb 2026 · 1,718 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDevelopment of a Machine Learning Based Mobile and Web Crop Recommendation System for Precision Farming in WardhaAishwarya Kadu, KTV ReddyAgricultural productivity is crucial for economic growth of a nation, especially for countries like India which is highly dependent on agriculture. This study addresses the need for cutting-edge technology to enhance crop productivity by proposing a Mobile/Web-based precision farming system. Leveraging Machine Learning (ML) algorithms, the proposed system recommends optimal crops based on several factors such as environmental parameters (Nitrogen … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,667 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAn Intelligent Hybrid Machine Learning Model for Paddy Disease DetectionS. Hrushikesava Raju, S. Adinarayna, U. Sesadri et al.Most countries rely on paddy/rice as a preferred staple crop due to its desirable agronomic characteristics. However, during the growth cycle, undetected or delayed identification of diseases can significantly reduce crop yield. To address this, machine learning approaches are increasingly employed for early-stage disease detection. Traditional Recurrent Neural Networks (RNNs), while useful for sequential data, suffer from limitations such as … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,754 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOptimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant LeavesDeepkiran Munjal, Mrinal Pandey, Laxman SinghPlant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective management and keeping plant health at the desired level. This research proposes a new method for detection and classification of plant diseases, the Optimized Fractional Fusion Deep … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Jan 2026 · 2,228 accessesView PDF Cite

Research ArticleOpen accessIn the abstractGrowth Dynamics and Meat Productivity of the Kushum Horse BreedOtebayev Zhassulan, Akimbekov Amin, Alpeisov Shokhan et al.In the conditions of the south-eastern zone of the Almaty region under herd management conditions without altering the existing husbandry practices the meat productivity of Kushum breed of horses is increased in the Bayserke Agro Farm due to breeding of highly productive stallions and mares of the Kushum breed. The primary objective of this study is to assess the productivity, … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 3 · 4 Dec 2025 · 2,747 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCombination of Organic, Chemical and Biological Fertilizers to Accelerate Mangrove Growth on the East Coast of Sumatra, IndonesiaBudi Utomo, Yuda Ilham Ramadhan, Yunasfi et al.Efforts to rehabilitate mangroves often do not yield satisfactory planting results. Low maintenance measures due to the tidal situation of the area make it difficult for rehabilitation actors to carry out fertilization and insertion. This study aims to increase the growth of Rhizophora mucronata with fertilization treatment during planting with various biological fertilizers. The study was designed using a completely … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 24 Oct 2025 · 2,506 accessesView PDF Cite

Research ArticleOpen accessIn the abstractResponse of Cowpea (Vigna unguiculata L. Walp.) Varieties to Striga gesnerioides (Willd.) Vatke InfestationAlhassan Bawa, Ismael Yakubu, Yussif SeiduProduction of cowpea within the sub-Saharan Africa, and Ghana in particular, is bedeviled with many challenges, including Striga infestation, resulting in abysmal low grain and biomass yields. Thus, the study was conducted to evaluate Striga's impact on cowpea growth and yield. During the 2023 agricultural season, the study was carried out in Northern Ghana. A control (non-infested) experiment and a … …American Journal of Agricultural and Biological Sciences, Vol. 20, Issue 1 · 18 Sep 2025 · 4,874 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCrop Yield Prediction in Niger Using Machine Learning TechniquesMahaman Lawali Inoussa Garba, Naroua Harouna, Chaibou Kadri et al.Agriculture is the most impactful sector on Niger's economic growth. Stresses related to climate change and the environment are leading to a continuous decline in crop yield. Accurate crop yield forecasting is of paramount importance for farmers, government, policy makers, and other stakeholders to make most appropriate decisions regarding resource allocation and food security. This study examines the power of … …Journal of Computer Science, Vol. 21, Issue 8 · 16 Sep 2025 · 5,799 accessesView PDF Cite

Research ArticleOpen accessIn the abstractThe Effect of Different Functional Microbial Agents on the Biological Characteristics and Rhizosphere Enzyme Activity of Hydroponic CucumberCe Wang, Ouya Zhao, Shiyou Sun et al.This study aims to comprehensively explore the effect of functional microbial agents on healthy soil cultivation and attempt to increase cucumber yield. Three different microbial agents were used for cucumber seedlings by virtue of the hydroponic cultivation method in order to study their effects on enzyme activity and seedling growth and reveal the relationship between rhizosphere enzyme activity and carbon, … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 1 · 24 Mar 2025 · 5,514 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOptimizing Pea Cultivation in Kazakhstan: Breeding Drought-Resistant Varieties for Sustainable AgricultureKudaibergenov Mukhtar Sarsenbekovich, Kanatkyzy Makpal, Saken Gaukhar Sakenkyzy et al.Peas (Pisum sativum L.) are a vital legume for global food security, yet its cultivation in Kazakhstan faces challenges due to arid conditions and limited moisture availability. Breeding high-yielding, stress resistant varieties is critical to enhance agricultural productivity in the region. This study aimed to develop pea varieties with improved yield, drought resistance, and mechanization adaptability under Kazakhstan's agroecological conditions. … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 25 Aug 2025 · 5,254 accessesView PDF Cite