Influence of Integrated Weed and Nutrient Management on Productivity and Profitability of Summer Maize (Zea mays) Under Rainfed Condition of Assam, India

A field experiment was conducted at the Instructional-cum-Research (ICR) Farm, Assam Agricultural University, Jorhat during the summer season of the year 2020 to evaluate the effects of integrated weed and nutrient management on weed growth, yield attributes and yield of summer maize. The experiment was laid out in factorial randomized block design and replicated thrice. The treatment consisted of three nutrient management practice viz., 100% RDF (N1); N1+ 25 kg ZnSO4/ha (N2) and 75 % RDN and 100 % P2O5 and K2O through chemical fertilizer (CF) + 25 % N through vermicompost + 25 kg ZnSO4/ha (N3) and four weed management practices viz., weedy check (WM1), live mulching with cowpea (WM2), WM2 + hand weeding at 25 and 45 DAS (WM3) and Atrazine 500g+Pendimethalin 500g/ha followed by hand weeding at 45 DAS (WM4). Experimental findings revealed that the different INM practices significantly affected the growth parameters, yield and yield attributes of summer maize. The maximum values of growth parameters were recorded in the treatment involving application of 75 % RDN and 100 % P2O5 and K2O through chemical fertilizer + 25 % N through vermicompost + 25 kg ZnSO4/ha (N3). Similarly, yield and yield attributing characters viz., weight of cob with and without husk, length of cob without husk, number of rows per cobs, grain per row, grain per cob, 1000 grain weight, shelling percentage, grain (23.76 q/ha) and stover (74.55 q/ha) yield. The growth, yield and yield attributing parameters of maize were significantly affected by the different weed management practices. Pre emergence application of Atrazine 500g+Pendimethalin 500g/ha followed by hand weeding at 45 DAS (WM4) resulted the highest value of yield. The highest grain (21.77 q/ha) and stover (71.12 q/ha) yield were recorded in the treatment WM4.The interaction effects of different nutrient and weed management practices were found not significant. The economic study revealed that the highest gross return (?.1, 03816.00/ha), net return (?.67, 956.00) and B: C (1.90) were recorded from the treatment combination N3WM4.

Green Manure: Aspects and its Role in Sustainable Agriculture

Continuous cropping and frequent soil cultivation contribute to the breakdown of soil aggregates and the removal of organic matter, which reduces soil fertility and production. Green manuring is a low-cost and efficient approach for reducing the expense of inorganic fertilizers and preserving soil fertility. Due to the mounting problems facing agriculture, including climate change, extreme weather events, soil deterioration, and land contamination as a result of the overuse of chemical fertilizers, many farmers are adding green manuring into their methods to prevent soil erosion, improve soil structure, control weed growth, and most importantly increase the soil's fertility. The use of green manure has drastically decreased, raising concerns about the sustainability of soil fertility. Field crops may experience a temporary setback following the integration of organic residues with a high C-N ratio. By enhancing the soil's structure, fertility, and nutrient content, green manuring functions as a restoration factory to maintain the soil's fertility for sustainable agriculture. Green manure is therefore essential for growers that seek to decrease the use of dangerous chemicals for soil fertilization. Many farmers must use green manure in their operations to avoid the usage of chemical fertilizers in agriculture.

Influence of Soil and Foliar Application of Nutrients on Growth and Yield of Black Gram (Vigna mungo L)

Aims: This study aims to scrutinize the intricacies of nutrient management to optimize the cultivation of black gram (Vigna mungo L.) during the Rabi season of 2022-2023 in Coimbatore. The primary objectives include evaluating the efficacy of various treatments, such as recommended doses of inorganic fertilizer (RDF), rhizobium, and Phosphobacteria microbial inoculants as soil applicants, as well as TNAU Pulse Wonder, nano urea, and DAP as foliar sprays.Study Design: A meticulous Randomized Block Design (RBD) with three replications was employed to explore diverse treatments. This design allowed for a systematic investigation into the impact of different nutrient management strategies on the growth and yield of black grams.Place and Duration of Study: The study was conducted in Coimbatore, and the Rabi season of 2022-2023 was chosen for its duration. The experimental setup was established at the research farm under the auspices of the Karunya Institute of Technology and Sciences.Methodology: A total of ten treatments were tested, including various combinations of RDF (25:50:25), rhizobial culture, phosphobacteria, TNAU Pulse Wonder, nano urea, and DAP. Plant growth metrics, such as plant height and leaf count, were measured at 60 days after sowing (DAS). Yield attributes, including pod count, seeds per pod, and test weight, were also evaluated. Economic scrutiny included the calculation of the cost of cultivation, gross return, net income, and benefit-cost ratio.Results: Treatment T7, consisting of 75% RDF, rhizobial culture, phosphobacteria, and 1% TNAU Pulse Wonder, demonstrated substantial efficacy in enhancing plant growth metrics. At 60 DAS, this treatment exhibited an appreciable increase in plant height (39.89 cm) and leaf count (15.33). Moreover, T7 positively impacted crucial yield attributes, with elevated pod count (24.33), seeds per pod (9.33), and test weight (4.98 g). Economic scrutiny identified T7 as the epitome of economic viability, featuring a cost of cultivation at 30,240 INR, gross return of 125,587.80 INR, net income of 95,347.80 INR, and a commendable benefit-cost ratio of 4.15.Conclusion: These findings underscore the profound significance of strategic nutrient management paradigms for fostering sustainable and economically robust black gram cultivation. The identified treatment T7 stands out as a promising approach to optimize yields and economic returns in black gram cultivation, offering valuable insights for future agricultural practices.

Effect of Integrated Nutrient Management in Black Gram for its Yield and Quality in Coimbatore Tamil Nadu, India

A field experiment on integrated nutrient management practices for the field trial was conducted on a research farm at Karunya Institute of Technology and Sciences School of Agricultural Sciences. This experimental study was carried out in 2022-2023 during the Rabi seasons respectively. Black gram is one of the important pulse crops, grown throughout the country. There were 10 different treatment studies were implemented using a randomized block design. The results of the comparative analysis of the various treatments have highly stated that 75 % RDF + Soil application of 2 kg each of Rhizobial culture and Phosphobacteria+ Foliar spray of 1% TNAU Pulse wonder @ 30 and 45 DAS T7 is conducive for the cultivation of Blackgram (Vamban-8) with significant economics of production.

Effect of Different Nutrient Management Practices on Crop Growth, Yield and Yield Attributes of Soybean (Glycine max L.) under Kymore Plateau and Satpura Hillsagro-Climatic Zone

The field trial was conducted at Krishi Nagar Farm, Department of Agronomy, College of Agriculture, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, Madhya Pradesh, India, during the kharif season of 2021. The field experiment consisted with 06 treatments and they were tested in randomized block design with 04 replications. The study revealed that maximum plant height (50.35 cm), branches per plant (5.74), effective root nodules (57), Leaf area index (4.90), dry weight plant-1(45.16 g),yields attributes parameters like seed per pod (57.74), pods per plant (2.91) as well as seed index (11.88), seed yield (1009 kg ha-1), stover yield (2087 kg ha-1)and HI (32.59%)of soybean was found higher under 100 % Organic NM followed by 25% Organic + NF inputs BJG +25% Inorganic NM.

Soil Biodiversity: Influence of Soil Management Systems

Aim: Soil represents one of the most diverse habitats found on our planet. Soil organisms play crucial roles within ecosystems by exerting influence over physical properties and processes, as well as contributing to carbon and energy fluxes and the cycling of nutrients. The activity and composition of soil organisms are significantly impacted by land use and land management practices. In this study, we examined the predominant functional groups present in soil two different soil management systems viz., organic and integrated nutrient management (INM).Methods: We collected soil samples from coconut-based cropping systems under organic soil management and integrated nutrient management. Soil samples were characterised for soil macrofauna, mesofauna, microfauna and microflora.Results: The presence of soil macrofauna, mesofauna, microfauna, and microflora was more pronounced under organic management. Furthermore, the PERMANOVA analysis indicated that while management practices did not significantly impact community dissimilarity in the study area, the depth of the soil did have a significant influence.Conclusion: Although the PERMANOVA analysis within the light conditions examined, revealed that the influence of management practices on community dissimilarity was not statistically significant, it was noted that organic management led to an enhancement in soil biodiversity. The results of this study offer a comprehensive evaluation of the manner in which the organic management and INM practices influence the biodiversity of the soil.

Implications of Various Establishment Methods and Nutrient Management Practices on the Growth and Yield of Rice in the North Western Himalayan Region

Aim: For more than half of the world's population, rice is the primary staple food. The traditional method of producing rice uses a lot of water, requires a lot of labor, and is bad for the health of the soil and the environment. Additionally, an unbalanced nutrient supply causes plants to grow and develop slowly, the soil to deteriorate, and the environment to suffer. To know the effect of rice establishment and nutrient management on rice a field study was conducted at SKUAST-Jammu.Methodology: In a split plot design with three replications, the field experiment was carried out with the rice variety Pusa-1121 using 3 establishment methods (system of rice intensification, conventional, and mechanical) and 6 nutrient management practices (100% RDF inorganic, 75% RDF inorganic, 125% RDF inorganic, 50% inorganic + 50% organic, 75% inorganic + 25% organic, and 100% organic manures with FYM).Results: Among the nutrient management, 125% RDF gives the highest yield and B:C ratio of the rice crop during both years, according to the results. The highest yield was found in SRI crop establishment method, which also has the highest B:C ratio among all crop establishment methods.Conclusion: In terms of productivity, soil studies and profitability, the es­tablishment of rice by the system of rice intensification (SRI) technique in combination with 125% RDF inorganic approach was found to be superior to the other treatments.

Impact of Integrated Nutrient Management on Quality of Guava (Psidium guajava L.) Grown as a Component Crop in Coconut Based Cropping System

A field experiment was conducted under coastal Odisha conditions. The experiment was laid out in a Randomized Block Design with 9 treatments replicated thrice. The treatments consisting of T1: 75% RDF + 25% N through Vermicompost; T2: 75% RDF + 25% N through Vermicompost + FYM; T3:75% RDF + 25% N through Vermicompost + FYM +Bio fertilizers; T4:50% RDF + 50% N through Vermicompost; T5:50% RDF + 50% N through Vermicompost + FYM; T6: 50% RDF + 50% N through Vermicompost + FYM +Bio fertilizers; T7: 100% N through Vermicompost.; T8: 100% N through Vermicompost + FYM; T9:100% N through Vermicompost + FYM +Bio fertilizers. The result of the study revealed that maximum total soluble solids (11.420Brix and 10.93 0Brix), Vitamin-C (199.60 mg/100g and 189.08 mg/100g), total phenol contents (113.05 mg GAE/100g fresh weight and 88.21 mg GAE/100g fresh weight), total flavonoid contents (38.64 mg QE/100g fresh weight and 34.14 mg QE/100g fresh weight), FRAP value (21.61 mM Fe(II)/100g fresh weight and 18.39 mM Fe(II)/100g fresh weight), scavenging activity (62.03 % and 58.65 %) were observed with the plants treated with 50% RDF +50% N through Vermicompost + FYM +Bio fertilizer in both mrig and hasth bahar. The incorporation of nutrients through organic and inorganic resources leads to enhanced quality attributes of guava in Coconut Cropping System.

Effect of Integrated Nutrient Management and Salicylic Acid Application on Relative Water Content, Plant Height and Grain Yield of Quinoa (Chenopodium quinoa Willd.)

Aims: A field study was conducted to quantify the effect of moisture deficit stress at different critical stages of quinoa and different mitigation approaches were adopted in order to alleviate moisture deficit stress.Study Design: The experiment was designed in split plot design comprising of six main plots (water management) and four sub plots (stress mitigation approaches). The treatments in main plots viz., no irrigation at branching (M1), at ear formation (M2), flowering (M3), grain filling (M4) stages, irrigating at all four stages (M5) and irrigating as and when required (M6), and sub plot treatments viz., soil test-based fertilizer recommendation (STBFR) (S1), STBFR + Salicylic acid spray at 100 ppm (S2), STBFR + rice straw mulching (S3) and integrated nutrient management (S4) were tested.Place and Duration of Study: The experiment was conducted at the Instructional Farm, Odisha University of Agriculture and Technology, Bhubaneswar during Rabi 2021-22.Methodology: Moisture deficit stress was imposed by withholding irrigation water and not irrigating in the defined period. The treatments in the subplots were imposed as per the schedule.Results: Optimal results, including significantly taller plants, elevated relative water content, and increased grain yield, were achieved when irrigation was applied on an as-needed basis (M6). Conversely, the lowest grain yield was observed when moisture deficit stress was imposed during the branching stage of quinoa. This outcome was primarily linked to a more substantial reduction in both relative water content and plant height. Among the various stress mitigation approaches, integrated nutrient management (S4) emerged as the most effective management practice, followed closely by STBFR + Salicylic acid spray at 100 ppm (S2).Conclusion: The result indicated that branching stage is the most critical stage for irrigation in quinoa and integrated nutrient management could be the best approach under moisture deficit stress in quinoa among the other treatments.

Integrated Nutrient Management and Salicylic Acid Boost Quinoa (Chenopodium quinoa Willd.) Yield under Deficit Moisture Stress at Different Critical Stages

Aims: A field study was conducted to quantify the effect of moisture deficit stress at different critical stages of quinoa and different mitigation approaches were adopted in order to alleviate moisture deficit stress.Study Design: The experiment was designed in a split-plot design comprising six main plots (water management) and four subplots (stress mitigation approaches). The treatments in main plots viz., cut-off irrigation at branching (M1), at ear formation (M2), flowering (M3), grain filling (M4) stages, irrigating at all four stages (M5) and irrigating as and when required (M6), and subplot treatments viz., soil test-based fertiliser recommendation (STBFR) (S1), STBFR + Salicylic acid spray at 100 ppm (S2), STBFR + rice straw mulching (S3) and integrated nutrient management (S4) were tested.Place and Duration of Study: The experiment was conducted at the Instructional Farm, Odisha University of Agriculture and Technology, Bhubaneswar during Rabi 2021-22.Methodology: Moisture deficit stress was imposed by withholding irrigation water and not irrigating in the defined period. The treatments in the subplots were imposed as per the schedule.Results: The lowest leaf area index was recorded when irrigation was withheld at the branching stage (0.61) which was statistically similar to M2 (no irrigation at the ear formation stage) with an average leaf area index of 0.64. Similarly, plants under integrated nutrient management practices (S4) recorded a significantly higher leaf area index (0.92) which was statistically at par with S2 (STFBR + Salicylic acid spray) which was 0.87. The reduction in the TCC was the maximum when stress was applied at the branching and ear formation stage compared to the flowering and grain filling stage. The increment in grain yield by following INM (S4) and STBFR+SA (S2) under drought stress and irrigated control was 23.6% and 17.6%, respectively over fully inorganic nutrient management (S1).Conclusion: The result indicated that the branching stage is the most critical stage for irrigation in quinoa and integrated nutrient management could be the best approach under moisture deficit stress in quinoa among the other treatments.

A Comprehensive Review of Application of RS, GIS and GPS in Agriculture India

Food and fibre, two of humanity's most fundamental requirements, are met by agriculture. In the last century, new farming methods have been introduced, such as the Green Revolution, which has enabled agriculture to keep up with the increasing demand for food and other agricultural goods. But population growth, rising income levels, and increased food demand will probably put more stress on the planet's natural resources. As the detrimental effects of agriculture on the environment become more widely acknowledged, new methods and strategies need to be able to meet future food needs while preserving or lessening the environmental footprint of agriculture. Informed management decisions aiming at increasing crop production could be made with the help of emerging technologies like artificial intelligence (AI), Internet of Things (IoT), big data analysis, and geospatial technology. Many scientists, engineers, agronomists, and researchers use a variety of technologies each year to boost agricultural output while minimising pollution, yet these efforts have a negative environmental impact. Precision agriculture examines how technology might be applied to enhance agricultural practises relative to traditional methods while minimising negative environmental effects. Precision agriculture greatly benefits from the deployment of remote sensing technologies, which also presents new chances to enhance agricultural practises. Geographically, latitude and longitude data can be recorded for field data (slope, aspect, nutrients, and yield) using the global positioning system (GPS). Because of its ability to continuously determine and record the right position, it can build a larger database for the user. Geographic Information Systems (GIS), which can handle and store these data, are needed for the additional analysis. This review will offer you an overview of Remote Sensing technology, GPS, and GIS, and how it might be used for precision agriculture.

Effect of Pearl Millet (Pennisetum glaucum L.)- Pulses Intercropping System with Nutrient Management on Growth and Yield of Pearl Millet

A field experiment was conducted at the College Farm, N. M. College of Agriculture, Navsari Agricultural University, Navsari (Gujarat) to study the effect of pearl millet (Pennisetum glaucum L.) - pulses intercropping system and nutrient management on growth and yield of pearl millet during summer season of the years 2021 and 2022. The experiment was laid out in a split plot design consisting 24 treatment combinations replicated thrice. The main plot treatments comprised of four intercropping system viz., sole pearl millet (I1), pearl millet + greengram (I2), pearl millet + blackgram (I3), pearl millet + cowpea (I4) and six nutrient management practices in sub plot viz. control (F1), 100% RDF to pearl millet through inorganic fertilizer (F2), 5 t/ha FYM + 100% RDF through inorganic fertilizer (F3), 5 t/ha FYM + 100% RDF through inorganic fertilizer on base of STV (F4), 25% RDN through FYM + 75% RDF through inorganic fertilizer (F5) and 50% RDN through FYM + 50% RDF through inorganic fertilizer (F6). Among main plot effect, significantly higher dry matter accumulation per plant, number of effective tillers per plant, earhead length, earhead weight, grain weight per earhead, grain and straw yields of pearl millet were noted in sole pearl millet (I1) during both the years of investigation as well as in pooled analysis. Whereas plant height and pearl millet equivalent yield was significantly higher in pearl millet + greengram (I2) intercropping system. In case of sub plot nutrient management practices, significantly higher values of plant height, dry matter accumulation per plant, number of effective tillers per plant, earhead length, earhead weight, grain weight per earhead, grain and straw yields as well as pearl millet equivalent yield were recorded in F4 (5 t/ha FYM + RDF through inorganic fertilizer on base of STV) which remained statistically at par with treatment F3 (5 t/ha FYM + 100% RDF through inorganic fertilizer) treatment. Interaction effect of I1F4 (sole pearl millet along with 5 t/ha FYM + RDF through inorganic fertilizer on base of STV) resulted in significantly higher dry matter accumulation per plant at 60 DAS and harvest, earhead weight, grain weight per earhead, grain and straw yield of pearl millet.

Optimizing Irrigation and Nutrient Management in Agriculture through Artificial Intelligence Implementation

Agriculture plays a pivotal role in sustaining global food security and addressing the challenges of a growing population. However, the efficient use of water and nutrients in agriculture is crucial to mitigate environmental impact while maximizing crop yield. In recent years, the integration of artificial intelligence (AI) techniques into agricultural practices has gained momentum, offering innovative solutions for optimizing irrigation and nutrient management. This review paper examines the diverse applications of AI in agriculture, focusing on its role in enhancing irrigation scheduling and nutrient management for improved productivity and resource conservation. The paper presents an overview of various AI technologies, such as machine learning, remote sensing, and data analytics, and their contributions to sustainable agricultural practices. It also discusses the challenges and opportunities associated with the adoption of AI in agriculture, including data quality, model interpretability, and farmer acceptance. Through a comprehensive analysis of recent research and case studies, this review underscores the potential of AI to revolutionize irrigation and nutrient management strategies, ultimately fostering a more resilient and productive agricultural sector.

Carbon Sequestration in Low Land Paddy Soils: Effect of Certain Cultural and Nutrient Management Practices: A Review

Carbon(C) is the only key to running in this worldly life and without carbon, nothing can be ensured, but the amount and form of C in different spheres of the earth make numerous changes. Changes in the carbon levels cause the lives of all living things. Soil carbon flux directly or indirectly affects the global climate and thus agriculture productivity. To ensuring the human rations, protection is intended for the rising populace worldwide, where the critical challenges in the agriculture sector are inevitable. Improved soil and nutrient supervisions and cultural practices are very imperative to tackling these troubles. Augmenting the productivity of various agro-ecosystems, soil productiveness, and carbon accretion via certain approaches become a must concern towards sustainable food production. “Paddy soils form the huge area of artificial swamplands on the earth, and serves as food basket for the world population also responsible for sequestering soil organic carbon potentially”. Rice accounts for around 9-10 % of the total cropland area globally, and their environmental conditions are responsible for storing organic carbon in soil, methane (CH4) production, and emit nitrous oxide (N2O) in meager amount. The present review signifies the present and future potential agricultural management practices, particularly soil and plant nutrition and their effects on soil organic carbon storage (SOCS) and carbon sequestration (CS) by paddies grown under submerged conditions compared to other crops. Increasing carbon inputs and reducing SOC losses in low land paddy soils need attention as its concern with GHGs that implies direct causes of global climate. As future direction, life-cycle assessments of certain practices in low land paddy soils helps in assessing the carbon footprints and sustaining the crop productivity consequently mitigating climate change. With this view, this review study was taken to the life of carbon in the terrestrial ecosystem and its accumulation in low land paddy soils moderated by cultural and nutrient management practices adapted for rice production in low lands.

Effect of Potassium Solubilizing Bacteria (KSB) on the Performance of Sweet Corn (Zea mays L. saccharata) in Potassium Sufficient Soils of Semi-arid Tropic

An experiment was conducted on potassium sufficient sandy loam soil (Alfisols) to evaluate the impact of potassium solubilizing bacteria (KSB) on the performance of rabi sweet corn. The study consisted of 10 treatments with different doses of potassium with and without KSB treatment [Seed treatment (ST) + Soil drenching (SD) at Knee height (KH) stage]. Result of this experiment indicated that sweet corn yield was gradually reduced with reduction of recommended dose of potassium (RDK) irrespective of KSB treatment. Amongst all treatments, application of 100% RDK in 2 equal splits at sowing and KH stage + KSB (ST + SD) (T10) resulted in highest growth, yield (19.7 t ha-1) and yield attributes. However, T10 was on par with the result of [100% RDK + KSB (ST) + KSB (SD) at KH stage], (50% RDK at basal + 50% RDK at KH stage), [100% RDK+ KSB (ST) +KSB (SD) at KH stage] and [75% RDK at basal + KSB (ST) +KSB (SD) at KH stage] treatments. Whereas, implication of 25% or 50% reduction of RDK was significantly inferior to 100% RDK. The study revealed that KSB could substitute 25% of RDK supplied to nutrient exhaustive crop like rabi sweet corn without compromising the economic yield in potassium rich alfisols of semi-arid tropic.

Effect of Integrated Nutrient Management on Growth and Yield of Barley (Hordeum vulgare L.)

During the Rabi season of 2018-19, a field experiment was undertaken at Vivekananda Global University's Research Farm in Jaipur to investigate the "Effect of Integrated Nutrient Management on Growth and Yield of Barley (Hordeum vulgare L.)." The experiment followed a randomized block design with three replications. The treatments consisting of nine treatment combinations viz., 100% RDF (T1), 100% RDF + vermicompost 2.5 t ha-1 (T2), 100% RDF + vermicompost 2.5 t ha-1 + Azotobacter (T3), 75% RDF (T4), 75% RDF + vermicompost 2.5 t ha-1 (T5), 75% RDF + vermicompost 2.5 t ha-1 + Azotobacter (T6), 50% RDF (T7), 50% RDF + vermicompost 2.5 t ha-1 (T8) and 50% RDF + vermicompost 2.5 t ha-1 + Azotobacter (T9) were applied to the barley var. RD-2035. The experimental results demonstrated that several integrated nutrient treatments greatly boosted barley growth, yield characteristics and yield, quality, and economics. With the application of 100% RDF + vermicompost 2.5 t ha-1 + Azotobacter (T3), the maximum plant height at 60 DAS and 90 DAS, total number of tillers at 60 DAS and 90 DAS, effective number of tillers, ear length, number of grains ear-1, grain yield, straw yield, biological yield, and nitrogen content in grain and straw of barley were obtained. However, the application of 100% RDF yielded the significantly largest net returns and B: C ratio of barley (T1).

Crop Health Monitoring through Remote Sensing: A Review

Agriculture is basis of livelihood for a major portion of world population. It provides food to humans. With the increasing population and climate change there is need to enhance production to fulfil the demand of growing population. Remote sensing technology has potential to predict nutrient requirement by providing various information related to plant and soil in quantitative terms thereby increasing productivity. It plays important role in monitoring crop health, crop growth and development, nutrient management, pest and disease management, water management and weed management. Evaluation of crop canopy provide various information regarding agronomic parameters. The data obtained from remote sensing provides a better alternative for natural management than traditional methods and this kind of management enhances efficiency of various resources by avoiding their overuse. By using this technology, we can improve traditional methods of agriculture and bring out changes in the field of agriculture. This paper reviews remote sensing technology for crop health monitoring, highlighting its importance with new ideas for agriculture.

Influence of Integrated Nutrient Management on the Productivity of kharif Redgram (Cajanus cajan L.)

A field experiment was conducted during kharif season of 2021-22 at Agricultural Research Station, Tandur, Vikarabad, Professor Jayashankar Telangana State Agricultural University (PJTSAU) under deep black soils to study the effect of integrated nutrient management on the growth and yield of kharif redgram (Cajanus cajan L.). The experiment was laid out in Randomized block design with 9 treatments in 3 replications. Treatments comprised of T1: Control, T2: 50% RDF (10:25:0 NPK kg ha-1) + 50% FYM (2.5 t ha-1), T3: 75% RDF (15:37.5:0 NPK kg ha-1) + 25% FYM (1.25 t ha-1), T4: 100% RDF (20:50:0 NPK kg ha-1), T5: 50% RDF + FYM @ 5 t ha-1 + Rhizobium (Seed treatment) + PSB (Seed treatment), T6: 75% RDF + FYM @ 5 t ha-1 + Rhizobium (Seed treatment) + PSB (Seed treatment), T7: 100% RDF + FYM @ 5 t ha-1 + Rhizobium (Seed treatment) + PSB (Seed treatment), T8: 100% RDF + Rhizobium (Seed treatment) + PSB (Seed treatment) and T9: FYM @ 5 t ha-1 + Rhizobium (Seed treatment) + PSB (Seed treatment). Among the treatments, application of 100% RDF, FYM @ 5 t ha-1, Rhizobium and PSB recorded significantly higher seed yield (1898 kg ha-1) and stalk yield (6275 kg ha-1).

Improving Yield of Tomatoes Grown in Greenhouses Using IoT Based Nutrient Management System

Nutrient management, fertigation scheduling, IoT, sensors, tomatoAims: This paper discuss, a study conducted to evaluate the developed automated IoT based fertigation control system for greenhouse for tomato (Solanum lycopersicum L.) crop.Study Design: Different nutrient and irrigation water levels were used to evaluate developed system using three replications in a factorial randomized block design (RBD).Methodology: An automated fertigation scheduling system was implemented in a greenhouse with soil moisture sensors at three depths (15, 30, and 45 cm) within the tomato root zone. R2, RMSE, NSE and MAE values were used to establish the correlation between sensor values and actual soil moisture. Tomato crop biometric parameters were collected and analyzed to evaluate the system's performance.Results: The results indicated strong correlation between sensor and observed soil moisture with R2 (0.8642 to 0.9528), RMSE (1.0786 to 1.8328), NSE (0.8438 to 0.9463), and MAE (0.9729 to 1.7043) values. Highest plant height (255 cm), girth (2.29 cm), number of leaves (21), number of flowers (23.1), fruit length (8.05 cm), fruit weight (110 g), yield/plant (2.75 kg), yield (68.77 t/ha) and sugar (5.1°Brix) were observed with drip irrigation at the rate of 100% ETc and 100% recommended dose of fertilizer (RDF), while minimum values of these parameters were noted in the control treatment.Conclusion: Using sensor-based drip irrigation at 100% ETc and 100% RDF led to a 62.92% increase in tomato yield and water saving of 14.84% compared to the control treatment. For tomato crop, the system required 2.27 l/plant/day water at 100% ETc. The developed automated fertigation system found suitable for greenhouse vegetable crops with the use of sensor based drip irrigation at 100% ETc and 100% RDF.

Influence of Cropping System and Nutrient Management Practices on the Yield, and Economics of Pearl Millet [Pennisetum glaucum]

The Field experiments were conducted to evaluate the effect of cropping systems and nutrient management practices on the yield, and economics of pearl millet in the School of Agricultural Science, Karunya Institute of Technology and Sciences, Coimbatore, India). The experiments were laid out in Factorial Randomized Block Design (FRBD) with two factors (Cropping system and Nutrient management) and three replications for two consecutive seasons in 2022-23. The study comprised three cropping system treatments namely C1 – Sole Pearl millet cropping, C2 - Pearl millet + Black gram intercropping (1:1), C3 – Pearl millet + Cowpea intercropping (1:1) along with four nutrient management treatments viz., N1 - 100% Recommended dose of fertilizer (RDF) @80:40:40 kg of N, P2O5, and K2O/ha., N2– 75% RDF + Azospirillum @2kg/ha and Phosphate solubilizing bacteria (PSB) @2kg/ha, N3 – 75% RDF + Soil application of Azospirillum (2kg/ha) and PSB (2kg/ha) + Foliar spray of 2% urea @ 15 and 35 days after transplanting (DAT), N4 – 75% RDF + Soil application of Azospirillum (2kg/ha) and PSB (2kg/ha) + Foliar spray of Panchagavya3% @ 15 and 35 DAT. The results of the experiment revealed that the intercropping of black gram or cowpea in pearl millet proves to be beneficial and advantageous in terms of, grain yield and returns per rupee invested, rather than going for the sole cropping of pearl millet. On the other hand, reduced application of inorganic recommended dose of fertilizers by 25% with the inclusion of biofertilizers like Azospirillum and phosphate solubilizing bacteria, along with the foliar application of 2% urea or 3% Panchagavya will be an economically viable and environmentally sustainable nutrient management practice for improving the yield of pearl millet.