Integrated Farming System is a holistic approach in which different enterprises are utilized in a collaborative way, wherein the resources are managed efficiently so that waste output of one enterprise serves as the input for another. Due to an ever-increasing population, the arable land is becoming increasingly scarcer per person, leaving little room for horizontal agricultural expansion. There are 115 million working farms in India, with about 80% of them being small or marginal farmers. With Integrated Farming System, the living standards of these farmers can be enhanced by efficient utilization of different enterprises. The IFS is actually a mixed farming system wherein different enterprises like dairy, fish, poultry, and other beneficial enterprises give an enhanced returns with lower risks, which can intermediate the losses of crops in case of severe climatic conditions. Under IFS, various enterprises having lower dependency on severe weather circumstances, the farmer is comparatively on safer side as far as the adversities of crop losses are concerned There are many advantages to integrated farming systems (IFS), such as a more efficient use of farm resources and an eco-friendlier strategy to farming. As a system of crop and livestock farming, IFS consists of at least two distinct but logically interdependent parts. Water efficiency, weed and pest control, and soil health can all be improved with IFS. It also helps to maintain water quality. Chemical fertilisers, weed killers, and pesticides should be used sparingly in an integrated farming system in order to protect the environment from their harmful effects. Adopting an Integrated Farming System (IFS) ensures a stable and long-term source of farm income by integrating a number of businesses to make the most of the land's natural resources. IFS itself is important for sustainable development of farmer by improving yield, economic return, employment generation, nutritional security and livelihood.

Reduced soil fertility and rising pest and disease pressures are contributing to the already serious problem of global food insecurity. Monoculture is the most labour and resource-intensive form of crop production around the globe. Unfortunately, monocultures are more vulnerable to pests, diseases, and weeds, so the expansion of this system is accompanied by a host of biological issues. Negative effects on the environment, human health, and ecosystem stability are all associated with monocropping because it relies so heavily on the use of chemical plant protection products of all generations of pesticides. Although crop production strategies are important for overall enhancement in production, the intercropping can help farmers in attaining raised economic returns by taking multiple crops in a single season. Intercropping is an alternative strategy for improved resource use efficiency, environmental safety, and sustainable pest management without the use of chemical pesticides that can help mitigate these risks. Intercropping (two or more crop species coexisting) is a cultural practice in pest management that reduces insect pests by increasing ecosystem diversity. Intercropping and planting crops that kill or repel pests, attract natural enemies, or have antibacterial effects can reduce disease and pest damage and pesticide use. Intercropping, where crops grow between main crops, reduces the likelihood of pest infestation. Intercropping is a potential pest management practice because it diversifies crops in an agro-ecosystem to reduce insect populations and attacks. Intercropping relies on a deep understanding of insect ecology and crop traits. Intercropping can be used alone or in combination with host-plant resistance and biological control. Intercropping ensures crop yield stability, protects against crop failure, improves soil fertility, increases soil conservation, and reduces pesticide use, minimizing agriculture's environmental impact. The aim is to define the role and importance of intercropping as a strategy in crop pest management and as a boost for crop production vis-à-vis soil fertility.

Spatial variabilities and drivers of land use and land cover (LULC) change over time and are crucial for determining the region’s economic viability and ecological functionality. The North-Western Himalayan (NWH) regions have witnessed drastic changes in LULC over the last 50 years, as a result of which their ecological diversity has been under significant threat. There is a need to understand how LULC change has taken place so that appropriate conservation measures can be taken well in advance to understand the implications of the current trends of changing LULC. This study has been carried out in the Baramulla district of the North-Western Himalayas to assess its current and future LULC changes and determine the drivers responsible for future policy decisions. Using Landsat 2000, 2010, and 2020 satellite imagery, we performed LULC classification of the study area using the maximum likelihood supervised classification. The land-use transition matrix, Markov chain model, and CA-Markov model were used to determine the spatial patterns and temporal variation of LULC for 2030. The CA-Markov model was first used to predict the land cover for 2020, which was then verified by the actual land cover of 2020 (Kappa coefficient of 0.81) for the model’s validation. After calibration and validation of the model, LULC was predicted for the year 2030. Between the years 2000 and 2020, it was found that horticulture, urbanization, and built-up areas increased, while snow cover, forest cover, agricultural land, and water bodies all decreased. The significant drivers of LULC changes were economic compulsions, climate variability, and increased human population. The analysis finding of the study highlighted that technical, financial, policy, or legislative initiatives are required to restore fragile NWH regions experiencing comparable consequences.

To determine the effect of the age of seedlings under different sources of nutrients on soil properties, nutrient uptake, and quality of the sweet corn, an experiment was laid out in randomized complete block design (RCBD) with factorial arrangement during the Kharif season of 2020. The experiment consisted of two factors: seedling ages (12, 22, and 32 days old) and nutrient sources (control, RDF, ½ RDF + FYM, ½ RDF + VC, and ½ RDF + PM). Organic sources of nutrients viz. FYM, vermicompost, and poultry manure were given on N equivalent basis. Results showed that transplanting 22 days old seedlings performed better and recorded higher NPK uptake in grain as well as stover with a significant difference, which was directly associated with its high dry matter accumulation. However, no significant difference was observed in the nutrient content of N, P, and K. Significantly higher grain and stover yield was realized by transplanting 22 days old seedlings. Application of ½ RDF + PM led to a significant increase in nutrient content and uptake in both grain and stover as compared to the sole application of RDF. The higher nutrient uptake was ultimately responsible for a higher yield of sweet corn. Application of ½ RDF + FYM was statistically at par with ½ RDF + VC to nutrient uptake and yield. The quality of kernels in terms of TSS, protein, Fe, and Zn content was notably influenced by sources of nutrients with the highest results under the application of ½ RDF + PM. Higher values for Fe and Zn content of grain were reported in the case of 22 days old seedlings with no significant difference to the rest of the seedling ages. Furthermore, the age of seedlings didn’t have a significant effect on postharvest soil Physico-chemical properties however a significant improvement was noted in plots fertilized with ½ RDF + PM.

Background: Phosphorus (P) is among the essential elements for plant growth and one of the main elements of fertilizers. Decreased availability of P may limit agricultural production in the coming years. The magnitude of soil aggregation influences phosphorus access to mineral surfaces. Aim:The present study aims to determine phosphorus adsorption processes affected by soil aggregation under different land-use systems. Methods:The distribution of soil aggregates was determined in representative soil samples in the district Kupwara of Kashmir Valley in India. To predict the phosphorus fertilizer requirement of a particular soil, we used the Freundlich adsorption equation and Langmuir equation and drew a clear comparison between these two models.Results and discussion: Maximum phosphorus (P) adsorption was recorded at the smallest aggregate size, 0.5-0.1 mm. However, soil aggregates >2.0 mm (the largest category) adsorbed the least amount of P. Our results revealed that increasing the addition of P to the soil decreased the percentage of adsorbed P regardless of aggregate size. The maximum P adsorption of different size aggregates varied between 1869-1924, 1872-1900, 1718-1739, and 1800-1890 mg P kg -1 in irrigated agriculture, forest, orchard and rainfed agriculture soils, respectively. The variation in P adsorption parameters across the different land uses was attributed to their mean weight diameter difference. The maximum bonding energy in the forest resulted in higher P adsorption. Langmuir and Freundlich's adsorption equations were fitted to each soil aggregate size and land-use system.